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design</title> <meta name="description" content="Search results for: controller design"> <meta name="keywords" content="controller design"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="controller design"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 12956</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: controller design</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12866</span> A Spiral Dynamic Optimised Hybrid Fuzzy Logic Controller for a Unicycle Mobile Robot on Irregular Terrains</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdullah%20M.%20Almeshal">Abdullah M. Almeshal</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20R.%20Alenezi"> Mohammad R. Alenezi</a>, <a href="https://publications.waset.org/abstracts/search?q=Talal%20H.%20Alzanki"> Talal H. Alzanki</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a hybrid fuzzy logic control strategy for a unicycle trajectory following robot on irregular terrains. In literature, researchers have presented the design of path tracking controllers of mobile robots on non-frictional surface. In this work, the robot is simulated to drive on irregular terrains with contrasting frictional profiles of peat and rough gravel. A hybrid fuzzy logic controller is utilised to stabilise and drive the robot precisely with the predefined trajectory and overcome the frictional impact. The controller gains and scaling factors were optimised using spiral dynamics optimisation algorithm to minimise the mean square error of the linear and angular velocities of the unicycle robot. The robot was simulated on various frictional surfaces and terrains and the controller was able to stabilise the robot with a superior performance that is shown via simulation results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20control" title="fuzzy logic control">fuzzy logic control</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20robot" title=" mobile robot"> mobile robot</a>, <a href="https://publications.waset.org/abstracts/search?q=trajectory%20tracking" title=" trajectory tracking"> trajectory tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=spiral%20dynamic%20algorithm" title=" spiral dynamic algorithm "> spiral dynamic algorithm </a> </p> <a href="https://publications.waset.org/abstracts/15205/a-spiral-dynamic-optimised-hybrid-fuzzy-logic-controller-for-a-unicycle-mobile-robot-on-irregular-terrains" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15205.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">495</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12865</span> Improvement of the Robust Proportional–Integral–Derivative (PID) Controller Parameters for Controlling the Frequency in the Intelligent Multi-Zone System at the Present of Wind Generation Using the Seeker Optimization Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Roya%20Ahmadi%20Ahangar">Roya Ahmadi Ahangar</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamid%20Madadyari"> Hamid Madadyari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The seeker optimization algorithm (SOA) is increasingly gaining popularity among the researchers society due to its effectiveness in solving some real-world optimization problems. This paper provides the load-frequency control method based on the SOA for removing oscillations in the power system. A three-zone power system includes a thermal zone, a hydraulic zone and a wind zone equipped with robust proportional-integral-differential (PID) controllers. The result of simulation indicates that load-frequency changes in the wind zone for the multi-zone system are damped in a short period of time. Meanwhile, in the oscillation period, the oscillations amplitude is not significant. The result of simulation emphasizes that the PID controller designed using the seeker optimization algorithm has a robust function and a better performance for oscillations damping compared to the traditional PID controller. The proposed controller’s performance has been compared to the performance of PID controller regulated with Particle Swarm Optimization (PSO) and. Genetic Algorithm (GA) and Artificial Bee Colony (ABC) algorithms in order to show the superior capability of the proposed SOA in regulating the PID controller. The simulation results emphasize the better performance of the optimized PID controller based on SOA compared to the PID controller optimized with PSO, GA and ABC algorithms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=load-frequency%20control" title="load-frequency control">load-frequency control</a>, <a href="https://publications.waset.org/abstracts/search?q=multi%20zone" title=" multi zone"> multi zone</a>, <a href="https://publications.waset.org/abstracts/search?q=robust%20PID%20controller" title=" robust PID controller"> robust PID controller</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20generation" title=" wind generation"> wind generation</a> </p> <a href="https://publications.waset.org/abstracts/52309/improvement-of-the-robust-proportional-integral-derivative-pid-controller-parameters-for-controlling-the-frequency-in-the-intelligent-multi-zone-system-at-the-present-of-wind-generation-using-the-seeker-optimization-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52309.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">303</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12864</span> Implementing Digital Control System in Robotics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Safiullah%20Abdullahi">Safiullah Abdullahi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper describes the design of a digital control system which controls the speed and direction of a robot. The robot is expected to follow a black thick line with the highest possible speed and lowest error around the line. The control system of the robot will correct for the angle error that is made between the frame axis of the robot and the line. The cause for error is the difference in speed of the two driving wheels of the robot which are driven by two separate DC motors, whereas the speed difference in wheels is due to the un-modeled fraction that is available in the wheels with different magnitudes in each. The control scheme is that a number of photo sensors are mounted in the front of the robot and report their position in reference to the black line to the digital controller. The controller then, evaluates the position error and generates the needed duty cycle for the related wheel motor to drive it faster or slower. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=digital%20control" title="digital control">digital control</a>, <a href="https://publications.waset.org/abstracts/search?q=robot" title=" robot"> robot</a>, <a href="https://publications.waset.org/abstracts/search?q=controller" title=" controller"> controller</a>, <a href="https://publications.waset.org/abstracts/search?q=control%20system" title=" control system"> control system</a> </p> <a href="https://publications.waset.org/abstracts/22506/implementing-digital-control-system-in-robotics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22506.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">551</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12863</span> Linear Parameter-Varying Control for Selective Catalytic Reduction Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jihoon%20Lim">Jihoon Lim</a>, <a href="https://publications.waset.org/abstracts/search?q=Patrick%20Kirchen"> Patrick Kirchen</a>, <a href="https://publications.waset.org/abstracts/search?q=Ryozo%20Nagamune"> Ryozo Nagamune</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes a linear parameter-varying (LPV) controller capable of reducing nitrogen oxide (NOx) emissions with low ammonia (NH3) slip downstream of selective catalytic reduction (SCR) systems. SCR systems are widely adopted in diesel engines due to high NOx conversion efficiency. However, the nonlinearity of the SCR system and sensor uncertainty result in a challenging control problem. In order to overcome the control challenges, an LPV controller is proposed based on gain-scheduling parameters, that is, exhaust gas temperature and exhaust gas flow rate. Based on experimentally obtained data under the non-road transient driving cycle (NRTC), the simulations firstly show that the proposed controller yields high NOx conversion efficiency with a desired low NH3 slip. The performance of the proposed LPV controller is then compared with other controllers, including a gain-scheduling PID controller and a sliding mode controller. Additionally, the robustness is also demonstrated using the uncertainties ranging from 10 to 30%. The results show that the proposed controller is robustly stable under uncertainties. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diesel%20engine" title="diesel engine">diesel engine</a>, <a href="https://publications.waset.org/abstracts/search?q=gain-scheduling%20control" title=" gain-scheduling control"> gain-scheduling control</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20parameter-varying" title=" linear parameter-varying"> linear parameter-varying</a>, <a href="https://publications.waset.org/abstracts/search?q=selective%20catalytic%20reduction" title=" selective catalytic reduction "> selective catalytic reduction </a> </p> <a href="https://publications.waset.org/abstracts/128744/linear-parameter-varying-control-for-selective-catalytic-reduction-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/128744.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">146</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12862</span> Multi-Agent Coverage Control with Bounded Gain Forgetting Composite Adaptive Controller</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mert%20Turanli">Mert Turanli</a>, <a href="https://publications.waset.org/abstracts/search?q=Hakan%20Temeltas"> Hakan Temeltas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we present an adaptive controller for decentralized coordination problem of multiple non-holonomic agents. The performance of the presented Multi-Agent Bounded Gain Forgetting (BGF) Composite Adaptive controller is compared against the tracking error criterion with a Feedback Linearization controller. By using the method, the sensor nodes move and reconfigure themselves in a coordinated way in response to a sensed environment. The multi-agent coordination is achieved through Centroidal Voronoi Tessellations and Coverage Control. Also, a consensus protocol is used for synchronization of the parameter vectors. The two controllers are given with their Lyapunov stability analysis and their stability is verified with simulation results. The simulations are carried out in MATLAB and ROS environments. Better performance is obtained with BGF Adaptive Controller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20control" title="adaptive control">adaptive control</a>, <a href="https://publications.waset.org/abstracts/search?q=centroidal%20voronoi%20tessellations" title=" centroidal voronoi tessellations"> centroidal voronoi tessellations</a>, <a href="https://publications.waset.org/abstracts/search?q=composite%20adaptation" title=" composite adaptation"> composite adaptation</a>, <a href="https://publications.waset.org/abstracts/search?q=coordination" title=" coordination"> coordination</a>, <a href="https://publications.waset.org/abstracts/search?q=multi%20robots" title=" multi robots"> multi robots</a> </p> <a href="https://publications.waset.org/abstracts/57931/multi-agent-coverage-control-with-bounded-gain-forgetting-composite-adaptive-controller" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57931.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">348</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12861</span> Maximum Power Point Tracking Using Fuzzy Logic Control for a Stand-Alone PV System with PI Controller for Battery Charging Based on Evolutionary Technique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20A.%20Moustafa%20Hassan">Mohamed A. Moustafa Hassan</a>, <a href="https://publications.waset.org/abstracts/search?q=Omnia%20S%20.S.%20Hussian"> Omnia S .S. Hussian</a>, <a href="https://publications.waset.org/abstracts/search?q=Hany%20M.%20Elsaved"> Hany M. Elsaved</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces the application of Fuzzy Logic Controller (FLC) to extract the Maximum Power Point Tracking (MPPT) from the PV panel. In addition, the proportional integral (PI) controller is used to be the strategy for battery charge control according to acceptable performance criteria. The parameters of the PI controller have been tuned via Modified Adaptive Accelerated Coefficient Particle Swarm Optimization (MAACPSO) technique. The simulation results, using MATLAB/Simulink tools, show that the FLC technique has advantages for use in the MPPT problem, as it provides a fast response under changes in environmental conditions such as radiation and temperature. In addition, the use of PI controller based on MAACPSO results in a good performance in terms of controlling battery charging with constant voltage and current to execute rapid charging. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=battery%20charging" title="battery charging">battery charging</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20control" title=" fuzzy logic control"> fuzzy logic control</a>, <a href="https://publications.waset.org/abstracts/search?q=maximum%20power%20point%20tracking" title=" maximum power point tracking"> maximum power point tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=PV%20system" title=" PV system"> PV system</a>, <a href="https://publications.waset.org/abstracts/search?q=PI%20controller" title=" PI controller"> PI controller</a>, <a href="https://publications.waset.org/abstracts/search?q=evolutionary%20technique" title=" evolutionary technique"> evolutionary technique</a> </p> <a href="https://publications.waset.org/abstracts/109686/maximum-power-point-tracking-using-fuzzy-logic-control-for-a-stand-alone-pv-system-with-pi-controller-for-battery-charging-based-on-evolutionary-technique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/109686.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">166</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12860</span> Enhancing the Dynamic Performance of Grid-Tied Inverters Using Manta Ray Foraging Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.%20E.%20Keshta">H. E. Keshta</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20A.%20Ali"> A. A. Ali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Three phase grid-tied inverters are widely employed in micro-grids (MGs) as interphase between DC and AC systems. These inverters are usually controlled through standard decoupled d–q vector control strategy based on proportional integral (PI) controllers. Recently, advanced meta-heuristic optimization techniques have been used instead of deterministic methods to obtain optimum PI controller parameters. This paper provides a comparative study between the performance of the global Porcellio Scaber algorithm (GPSA) based PI controller and Manta Ray foraging optimization (MRFO) based PI controller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=micro-grids" title="micro-grids">micro-grids</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization%20techniques" title=" optimization techniques"> optimization techniques</a>, <a href="https://publications.waset.org/abstracts/search?q=grid-tied%20inverter%20control" title=" grid-tied inverter control"> grid-tied inverter control</a>, <a href="https://publications.waset.org/abstracts/search?q=PI%20controller" title=" PI controller"> PI controller</a> </p> <a href="https://publications.waset.org/abstracts/142353/enhancing-the-dynamic-performance-of-grid-tied-inverters-using-manta-ray-foraging-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/142353.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">132</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12859</span> Battery/Supercapacitor Emulator for Chargers Functionality Testing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Farag">S. Farag</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Kuperman"> A. Kuperman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, design of solid-state battery/super capacitor emulator based on dc-dc boost converter is described. The emulator mimics charging behavior of any storage device based on a predefined behavior set by the user. The device is operated by a two-level control structure: high-level emulating controller and low-level input voltage controller. Simulation and experimental results are shown to demonstrate the emulator operation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=battery" title="battery">battery</a>, <a href="https://publications.waset.org/abstracts/search?q=charger" title=" charger"> charger</a>, <a href="https://publications.waset.org/abstracts/search?q=energy" title=" energy"> energy</a>, <a href="https://publications.waset.org/abstracts/search?q=storage" title=" storage"> storage</a>, <a href="https://publications.waset.org/abstracts/search?q=super%20capacitor" title=" super capacitor"> super capacitor</a> </p> <a href="https://publications.waset.org/abstracts/13042/batterysupercapacitor-emulator-for-chargers-functionality-testing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13042.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">400</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12858</span> Suitable Tuning Method Selection for PID Controller Used in Digital Excitation System of Brushless Synchronous Generator</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deepak%20M.%20Sajnekar">Deepak M. Sajnekar</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20B.%20Deshpande"> S. B. Deshpande</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20M.%20Mohril"> R. M. Mohril</a> </p> <p class="card-text"><strong>Abstract:</strong></p> At present many rotary excitation control system are using analog type of Automatic Voltage Regulator which now started to replace with the digital automatic voltage regulator which is provided with PID controller and tuning of PID controller is a challenging task. The cases where digital excitation control system is used tuning of PID controller are still carried out by pole placement method. Tuning of PID controller used for static excitation control system is not challenging because it does not involve exciter time constant. This paper discusses two methods of tuning PID controller i.e. Pole placement method and pole zero cancellation method. GUI prepared for both the methods on the platform of MATLAB. Using this GUI, performance results and time required for tuning for both the methods are compared. Sensitivity of the methods is also presented with parameter variation like loop gain ‘K’ and exciter time constant ‘te’. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=digital%20excitation%20system" title="digital excitation system">digital excitation system</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20voltage%20regulator" title=" automatic voltage regulator"> automatic voltage regulator</a>, <a href="https://publications.waset.org/abstracts/search?q=pole%20placement%20method" title=" pole placement method"> pole placement method</a>, <a href="https://publications.waset.org/abstracts/search?q=pole%20zero%20cancellation%20method" title=" pole zero cancellation method"> pole zero cancellation method</a> </p> <a href="https://publications.waset.org/abstracts/12214/suitable-tuning-method-selection-for-pid-controller-used-in-digital-excitation-system-of-brushless-synchronous-generator" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12214.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">678</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12857</span> A Novel Approach to Asynchronous State Machine Modeling on Multisim for Avoiding Function Hazards</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Parisi%20L.">Parisi L.</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamili%20D."> Hamili D.</a>, <a href="https://publications.waset.org/abstracts/search?q=Azlan%20N."> Azlan N.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this study was to design and simulate a particular type of Asynchronous State Machine (ASM), namely a ‘traffic light controller’ (TLC), operated at a frequency of 0.5 Hz. The design task involved two main stages: firstly, designing a 4-bit binary counter using J-K flip flops as the timing signal and subsequently, attaining the digital logic by deploying ASM design process. The TLC was designed such that it showed a sequence of three different colours, i.e. red, yellow and green, corresponding to set thresholds by deploying the least number of AND, OR and NOT gates possible. The software Multisim was deployed to design such circuit and simulate it for circuit troubleshooting in order for it to display the output sequence of the three different colours on the traffic light in the correct order. A clock signal, an asynchronous 4-bit binary counter that was designed through the use of J-K flip flops along with an ASM were used to complete this sequence, which was programmed to be repeated indefinitely. Eventually, the circuit was debugged and optimized, thus displaying the correct waveforms of the three outputs through the logic analyzer. However, hazards occurred when the frequency was increased to 10 MHz. This was attributed to delays in the feedback being too high. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=asynchronous%20state%20machine" title="asynchronous state machine">asynchronous state machine</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20light%20controller" title=" traffic light controller"> traffic light controller</a>, <a href="https://publications.waset.org/abstracts/search?q=circuit%20design" title=" circuit design"> circuit design</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20electronics" title=" digital electronics"> digital electronics</a> </p> <a href="https://publications.waset.org/abstracts/22349/a-novel-approach-to-asynchronous-state-machine-modeling-on-multisim-for-avoiding-function-hazards" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22349.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">429</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12856</span> Trajectory Tracking of Fixed-Wing Unmanned Aerial Vehicle Using Fuzzy-Based Sliding Mode Controller</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Feleke%20Tsegaye">Feleke Tsegaye</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The work in this thesis mainly focuses on trajectory tracking of fixed wing unmanned aerial vehicle (FWUAV) by using fuzzy based sliding mode controller(FSMC) for surveillance applications. Unmanned Aerial Vehicles (UAVs) are general-purpose aircraft built to fly autonomously. This technology is applied in a variety of sectors, including the military, to improve defense, surveillance, and logistics. The model of FWUAV is complex due to its high non-linearity and coupling effect. In this thesis, input decoupling is done through extracting the dominant inputs during the design of the controller and considering the remaining inputs as uncertainty. The proper and steady flight maneuvering of UAVs under uncertain and unstable circumstances is the most critical problem for researchers studying UAVs. A FSMC technique was suggested to tackle the complexity of FWUAV systems. The trajectory tracking control algorithm primarily uses the sliding-mode (SM) variable structure control method to address the system’s control issue. In the SM control, a fuzzy logic control(FLC) algorithm is utilized in place of the discontinuous phase of the SM controller to reduce the chattering impact. In the reaching and sliding stages of SM control, Lyapunov theory is used to assure finite-time convergence. A comparison between the conventional SM controller and the suggested controller is done in relation to the chattering effect as well as tracking performance. It is evident that the chattering is effectively reduced, the suggested controller provides a quick response with a minimum steady-state error, and the controller is robust in the face of unknown disturbances. The designed control strategy is simulated with the nonlinear model of FWUAV using the MATLAB® / Simulink® environments. The simulation result shows the suggested controller operates effectively, maintains an aircraft’s stability, and will hold the aircraft’s targeted flight path despite the presence of uncertainty and disturbances. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fixed-wing%20UAVs" title="fixed-wing UAVs">fixed-wing UAVs</a>, <a href="https://publications.waset.org/abstracts/search?q=sliding%20mode%20controller" title=" sliding mode controller"> sliding mode controller</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller" title=" fuzzy logic controller"> fuzzy logic controller</a>, <a href="https://publications.waset.org/abstracts/search?q=chattering" title=" chattering"> chattering</a>, <a href="https://publications.waset.org/abstracts/search?q=coupling%20effect" title=" coupling effect"> coupling effect</a>, <a href="https://publications.waset.org/abstracts/search?q=surveillance" title=" surveillance"> surveillance</a>, <a href="https://publications.waset.org/abstracts/search?q=finite-time%20convergence" title=" finite-time convergence"> finite-time convergence</a>, <a href="https://publications.waset.org/abstracts/search?q=Lyapunov%20theory" title=" Lyapunov theory"> Lyapunov theory</a>, <a href="https://publications.waset.org/abstracts/search?q=flight%20path" title=" flight path"> flight path</a> </p> <a href="https://publications.waset.org/abstracts/184695/trajectory-tracking-of-fixed-wing-unmanned-aerial-vehicle-using-fuzzy-based-sliding-mode-controller" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184695.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">57</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12855</span> Sensorless Controller of Induction Motor Using Backstepping Approach and Fuzzy MRAS</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Abbou">Ahmed Abbou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper present a sensorless controller designed by the backstepping approach for the speed control of induction motor. In this strategy of control, we also combined the method Fuzzy MRAS to estimate the rotor speed and the observer type Luenburger to observe Rotor flux. The control model involves a division by the flux variable that may lead to unbounded solutions. Such a risk is avoided by basing the controller design on Lyapunov function that accounts for the model singularity. On the other hand, this mixed method gives better results in Sensorless operation and especially at low speed. The response time at 5% of the flux is 20ms while the error between the speed with sensor and the estimated speed remains in the range of ±0.8 rad/s for the rated functioning and ±1.5 rad/s for low speed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=backstepping%20approach" title="backstepping approach">backstepping approach</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=induction%20motor" title=" induction motor"> induction motor</a>, <a href="https://publications.waset.org/abstracts/search?q=luenburger%20observer" title=" luenburger observer"> luenburger observer</a>, <a href="https://publications.waset.org/abstracts/search?q=sensorless%20MRAS" title=" sensorless MRAS"> sensorless MRAS</a> </p> <a href="https://publications.waset.org/abstracts/40200/sensorless-controller-of-induction-motor-using-backstepping-approach-and-fuzzy-mras" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40200.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">373</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12854</span> Particle Swarm Optimization Based Vibration Suppression of a Piezoelectric Actuator Using Adaptive Fuzzy Sliding Mode Controller</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jin-Siang%20Shaw">Jin-Siang Shaw</a>, <a href="https://publications.waset.org/abstracts/search?q=Patricia%20Moya%20Caceres"> Patricia Moya Caceres</a>, <a href="https://publications.waset.org/abstracts/search?q=Sheng-Xiang%20Xu"> Sheng-Xiang Xu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to integrate the particle swarm optimization (PSO) method with the adaptive fuzzy sliding mode controller (AFSMC) to achieve vibration attenuation in a piezoelectric actuator subject to base excitation. The piezoelectric actuator is a complicated system made of ferroelectric materials and its performance can be affected by nonlinear hysteresis loop and unknown system parameters and external disturbances. In this study, an adaptive fuzzy sliding mode controller is proposed for the vibration control of the system, because the fuzzy sliding mode controller is designed to tackle the unknown parameters and external disturbance of the system, and the adaptive algorithm is aimed for fine-tuning this controller for error converging purpose. Particle swarm optimization method is used in order to find the optimal controller parameters for the piezoelectric actuator. PSO starts with a population of random possible solutions, called particles. The particles move through the search space with dynamically adjusted speed and direction that change according to their historical behavior, allowing the values of the particles to quickly converge towards the best solutions for the proposed problem. In this paper, an initial set of controller parameters is applied to the piezoelectric actuator which is subject to resonant base excitation with large amplitude vibration. The resulting vibration suppression is about 50%. Then PSO is applied to search for an optimal controller in the neighborhood of this initial controller. The performance of the optimal fuzzy sliding mode controller found by PSO indeed improves up to 97.8% vibration attenuation. Finally, adaptive version of fuzzy sliding mode controller is adopted for further improving vibration suppression. Simulation result verifies the performance of the adaptive controller with 99.98% vibration reduction. Namely the vibration of the piezoelectric actuator subject to resonant base excitation can be completely annihilated using this PSO based adaptive fuzzy sliding mode controller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20fuzzy%20sliding%20mode%20controller" title="adaptive fuzzy sliding mode controller">adaptive fuzzy sliding mode controller</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20swarm%20optimization" title=" particle swarm optimization"> particle swarm optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=piezoelectric%20actuator" title=" piezoelectric actuator"> piezoelectric actuator</a>, <a href="https://publications.waset.org/abstracts/search?q=vibration%20suppression" title=" vibration suppression"> vibration suppression</a> </p> <a href="https://publications.waset.org/abstracts/99760/particle-swarm-optimization-based-vibration-suppression-of-a-piezoelectric-actuator-using-adaptive-fuzzy-sliding-mode-controller" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/99760.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">146</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12853</span> Design of an Automatic Saw Cutting Machine for Wood and Aluminum</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jawad%20Ul%20Haq">Jawad Ul Haq</a>, <a href="https://publications.waset.org/abstracts/search?q=Evan%20Mazur"> Evan Mazur</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Qureshi"> Ahmed Qureshi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Al-Hussein"> Mohamed Al-Hussein</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The uses of wood in furniture, building, bridges and aluminum in transportation and construction, make aluminum and forest economy a prominent matter in North America. Machines available to date to cut the aforementioned materials are mostly industry oriented with complex structure and operations which require special training and skill. Furthermore, requirements such as pneumatics, 3-phase supply are associated with cost, maintenance, and safety hazards. Power saws are very useful tools used to cut and shape materials; however, they can cause serious hand injuries. Operator’s hands in table saw are vulnerable as they are used to guide pieces into the saw. Apart from hands, saw operator is also prone to material being kicked back out of the saw or sustain eye or respiratory injuries due to rapidly flying sawdust and other debris. In this paper, design of an automatic saw cutting machine has been proposed to ensure safety, portability, usage at domestic level and capability to cut both aluminum and wood. This paper demonstrates detailed Mechanical design in SOLIDWORKS and Control Systems using Programmable Logic Controller (PLC), based on the aforementioned design objectives. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=programmable%20logic%20controller" title="programmable logic controller">programmable logic controller</a>, <a href="https://publications.waset.org/abstracts/search?q=saw%20cutting" title=" saw cutting"> saw cutting</a>, <a href="https://publications.waset.org/abstracts/search?q=control" title=" control"> control</a>, <a href="https://publications.waset.org/abstracts/search?q=automation" title=" automation"> automation</a> </p> <a href="https://publications.waset.org/abstracts/74344/design-of-an-automatic-saw-cutting-machine-for-wood-and-aluminum" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74344.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">273</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12852</span> Controller Design Using GA for SMC Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Susy%20Thomas">Susy Thomas</a>, <a href="https://publications.waset.org/abstracts/search?q=Sajju%20Thomas"> Sajju Thomas</a>, <a href="https://publications.waset.org/abstracts/search?q=Varghese%20Vaidyan"> Varghese Vaidyan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper considers SMCs using linear feedback with switched gains and proposes a method which can minimize the pole perturbation. The method is able to enhance the robustness property of the controller. A pre-assigned neighborhood of the ‘nominal’ positions is assigned and the system poles are not allowed to stray out of these bounds even when parameters variations/uncertainties act upon the system. A quasi SMM is maintained within the assigned boundaries of the sliding surface. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=parameter%20variations" title="parameter variations">parameter variations</a>, <a href="https://publications.waset.org/abstracts/search?q=pole%20perturbation" title=" pole perturbation"> pole perturbation</a>, <a href="https://publications.waset.org/abstracts/search?q=sliding%20mode%20control" title=" sliding mode control"> sliding mode control</a>, <a href="https://publications.waset.org/abstracts/search?q=switching%20surface" title=" switching surface"> switching surface</a>, <a href="https://publications.waset.org/abstracts/search?q=robust%20switching%20vector" title=" robust switching vector"> robust switching vector</a> </p> <a href="https://publications.waset.org/abstracts/4104/controller-design-using-ga-for-smc-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/4104.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">363</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12851</span> Power Quality Improvement Using Interval Type-2 Fuzzy Logic Controller for Five-Level Shunt Active Power Filter</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yousfi%20Abdelkader">Yousfi Abdelkader</a>, <a href="https://publications.waset.org/abstracts/search?q=Chaker%20Abdelkader"> Chaker Abdelkader</a>, <a href="https://publications.waset.org/abstracts/search?q=Bot%20Youcef"> Bot Youcef</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article proposes a five-level shunt active power filter for power quality improvement using a interval type-2 fuzzy logic controller (IT2 FLC). The reference compensating current is extracted using the P-Q theory. The majority of works previously reported are based on two-level inverters with a conventional Proportional integral (PI) controller, which requires rigorous mathematical modeling of the system. In this paper, a IT2 FLC controlled five-level active power filter is proposed to overcome the problem associated with PI controller. The IT2 FLC algorithm is applied for controlling the DC-side capacitor voltage as well as the harmonic currents of the five-level active power filter. The active power filter with a IT2 FLC is simulated in MATLAB Simulink environment. The simulated response shows that the proposed shunt active power filter controller has produced a sinusoidal supply current with low harmonic distortion and in phase with the source voltage. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=power%20quality" title="power quality">power quality</a>, <a href="https://publications.waset.org/abstracts/search?q=shunt%20active%20power%20filter" title=" shunt active power filter"> shunt active power filter</a>, <a href="https://publications.waset.org/abstracts/search?q=interval%20type-2%20fuzzy%20logic%20controller%20%28T2FL%29" title=" interval type-2 fuzzy logic controller (T2FL)"> interval type-2 fuzzy logic controller (T2FL)</a>, <a href="https://publications.waset.org/abstracts/search?q=multilevel%20inverter" title=" multilevel inverter"> multilevel inverter</a> </p> <a href="https://publications.waset.org/abstracts/117014/power-quality-improvement-using-interval-type-2-fuzzy-logic-controller-for-five-level-shunt-active-power-filter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/117014.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">178</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12850</span> The Vision Baed Parallel Robot Control</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sun%20Lim">Sun Lim</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyun%20Jung"> Kyun Jung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we describe the control strategy of high speed parallel robot system with EtherCAT network. This work deals the parallel robot system with centralized control on the real-time operating system such as window TwinCAT3. Most control scheme and algorithm is implemented master platform on the PC, the input and output interface is ported on the slave side. The data is transferred by maximum 20usecond with 1000byte. EtherCAT is very high speed and stable industrial network. The control strategy with EtherCAT is very useful and robust on Ethernet network environment. The developed parallel robot is controlled pre-design nonlinear controller for 6G/0.43 cycle time of pick and place motion tracking. The experiment shows the good design and validation of the controller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=parallel%20robot%20control" title="parallel robot control">parallel robot control</a>, <a href="https://publications.waset.org/abstracts/search?q=etherCAT" title=" etherCAT"> etherCAT</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20control" title=" nonlinear control"> nonlinear control</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20robot%20inverse%20kinematic" title=" parallel robot inverse kinematic"> parallel robot inverse kinematic</a> </p> <a href="https://publications.waset.org/abstracts/27428/the-vision-baed-parallel-robot-control" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27428.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">571</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12849</span> Design and Development of an 'Optimisation Controller' and a SCADA Based Monitoring System for Renewable Energy Management in Telecom Towers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Sundaram">M. Sundaram</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20R.%20Sanath%20Kumar"> H. R. Sanath Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Ramprakash"> A. Ramprakash</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Energy saving is a key sustainability focus area for the Indian telecom industry today. This is especially true in rural India where energy consumption contributes to 70 % of the total network operating cost. In urban areas, the energy cost for network operation ranges between 15-30 %. This expenditure on energy as a result of the lack of grid power availability highlights a potential barrier to telecom industry growth. As a result of this, telecom tower companies switch to diesel generators, making them the second largest consumer of diesel in India, consuming over 2.5 billion litres per annum. The growing cost of energy due to increasing diesel prices and concerns over rising greenhouse emissions have caused these companies to look at other renewable energy options. Even the TRAI (Telecom Regulation Authority of India) has issued a number of guidelines to implement Renewable Energy Technologies (RETs) in the telecom towers as part of its ‘Implementation of Green Technologies in Telecom Sector’ initiative. Our proposal suggests the implementation of a Programmable Logic Controller (PLC) based ‘optimisation controller’ that can not only efficiently utilize the energy from RETs but also help to conserve the power used in the telecom towers. When there are multiple RETs available to supply energy, this controller will pick the optimum amount of energy from each RET based on the availability and feasibility at that point of time, reducing the dependence on diesel generators. For effective maintenance of the towers, we are planing to implement a SCADA based monitoring system along with the ‘optimization controller’. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=operation%20costs" title="operation costs">operation costs</a>, <a href="https://publications.waset.org/abstracts/search?q=consumption%20of%20fuel%20and%20carbon%20footprint" title=" consumption of fuel and carbon footprint"> consumption of fuel and carbon footprint</a>, <a href="https://publications.waset.org/abstracts/search?q=implementation%20of%20a%20programmable%20logic%20controller%20%28PLC%29%20based%20%E2%80%98optimisation%20controller%E2%80%99" title=" implementation of a programmable logic controller (PLC) based ‘optimisation controller’"> implementation of a programmable logic controller (PLC) based ‘optimisation controller’</a>, <a href="https://publications.waset.org/abstracts/search?q=efficient%20SCADA%20based%20monitoring%20system" title=" efficient SCADA based monitoring system"> efficient SCADA based monitoring system</a> </p> <a href="https://publications.waset.org/abstracts/17807/design-and-development-of-an-optimisation-controller-and-a-scada-based-monitoring-system-for-renewable-energy-management-in-telecom-towers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17807.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">419</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12848</span> Controller Design and Experimental Evaluation of a Motorized Assistance for a Patient Transfer Floor Lift</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Donatien%20Callon">Donatien Callon</a>, <a href="https://publications.waset.org/abstracts/search?q=Ian%20Lalonde"> Ian Lalonde</a>, <a href="https://publications.waset.org/abstracts/search?q=Mathieu%20Nadeau"> Mathieu Nadeau</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexandre%20Girard"> Alexandre Girard</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Patient transfer is a challenging, critical task because it exposes caregivers to injury risks. Available transfer devices, like floor lifts, lead to improvements but are far from perfect. They do not eliminate the caregivers’ risk of musculoskeletal disorders, and they can be burdensome to use due to their poor maneuverability. This paper presents a new motorized floor lift with a single central motorized wheel connected to an instrumented handle. Admittance controllers are designed to 1) improve the device maneuverability, 2) reduce the required caregiver effort, and 3) ensure the security and comfort of patients. Two controller designs, one with a linear admittance law and a non-linear admittance law with variable damping, were developed and implemented on a prototype. Tests were performed on seven participants to evaluate the performance of the assistance system and the controllers. The experimental results show that 1) the motorized assistance with the variable damping controller improves maneuverability by 28%, 2) reduces the amount of effort required to push the lift by 66%, and 3) provides the same level of patient comfort compared to a standard unassisted floor lift. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=floor%20lift" title="floor lift">floor lift</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20robot%20interaction" title=" human robot interaction"> human robot interaction</a>, <a href="https://publications.waset.org/abstracts/search?q=admittance%20controller" title=" admittance controller"> admittance controller</a>, <a href="https://publications.waset.org/abstracts/search?q=variable%20admittance" title=" variable admittance"> variable admittance</a> </p> <a href="https://publications.waset.org/abstracts/176308/controller-design-and-experimental-evaluation-of-a-motorized-assistance-for-a-patient-transfer-floor-lift" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/176308.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">110</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12847</span> Optimal Tuning of Linear Quadratic Regulator Controller Using a Particle Swarm Optimization for Two-Rotor Aerodynamical System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ayad%20Al-Mahturi">Ayad Al-Mahturi</a>, <a href="https://publications.waset.org/abstracts/search?q=Herman%20Wahid"> Herman Wahid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an optimal state feedback controller based on Linear Quadratic Regulator (LQR) for a two-rotor aero-dynamical system (TRAS). TRAS is a highly nonlinear multi-input multi-output (MIMO) system with two degrees of freedom and cross coupling. There are two parameters that define the behavior of LQR controller: state weighting matrix and control weighting matrix. The two parameters influence the performance of LQR. Particle Swarm Optimization (PSO) is proposed to optimally tune weighting matrices of LQR. The major concern of using LQR controller is to stabilize the TRAS by making the beam move quickly and accurately for tracking a trajectory or to reach a desired altitude. The simulation results were carried out in MATLAB/Simulink. The system is decoupled into two single-input single-output (SISO) systems. Comparing the performance of the optimized proportional, integral and derivative (PID) controller provided by INTECO, results depict that LQR controller gives a better performance in terms of both transient and steady state responses when PSO is performed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LQR%20controller" title="LQR controller">LQR controller</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20control" title=" optimal control"> optimal control</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20swarm%20optimization%20%28PSO%29" title=" particle swarm optimization (PSO)"> particle swarm optimization (PSO)</a>, <a href="https://publications.waset.org/abstracts/search?q=two%20rotor%20aero-dynamical%20system%20%28TRAS%29" title=" two rotor aero-dynamical system (TRAS)"> two rotor aero-dynamical system (TRAS)</a> </p> <a href="https://publications.waset.org/abstracts/65313/optimal-tuning-of-linear-quadratic-regulator-controller-using-a-particle-swarm-optimization-for-two-rotor-aerodynamical-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65313.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">322</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12846</span> On Control of Asynchronous Sequential Machines with Switching Capability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jung-Min%20Yang">Jung-Min Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Corrective control enables us to change the stable state behavior of an asynchronous sequential machine without modifying inner logic of the machine. This paper addresses corrective control for asynchronous machines with switching capability. The considered asynchronous machine consists of a set of different submachines and switches to each machine according to a constant switching sequence. The control goal is to design a corrective controller such that the closed-loop system can match the behavior of a reference model. The reachability of the switched asynchronous machine is described by a logic calculation of the reachability of submachines. The design procedure of the proposed corrective controller is outlined, and the applicability of the proposed scheme is validated in an example. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=switched%20asynchronous%20sequential%20machines" title="switched asynchronous sequential machines">switched asynchronous sequential machines</a>, <a href="https://publications.waset.org/abstracts/search?q=corrective%20control" title=" corrective control"> corrective control</a>, <a href="https://publications.waset.org/abstracts/search?q=state%20feedback" title=" state feedback"> state feedback</a>, <a href="https://publications.waset.org/abstracts/search?q=switching%20sequences" title=" switching sequences"> switching sequences</a> </p> <a href="https://publications.waset.org/abstracts/14853/on-control-of-asynchronous-sequential-machines-with-switching-capability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14853.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">457</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12845</span> Assessment Power and Oscillation Damping Using the POD Controller and Proposed FOD Controller</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tohid%20Rahimi">Tohid Rahimi</a>, <a href="https://publications.waset.org/abstracts/search?q=Yahya%20Naderi"> Yahya Naderi</a>, <a href="https://publications.waset.org/abstracts/search?q=Babak%20Yousefi"> Babak Yousefi</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Hossein%20Hoseini"> Seyed Hossein Hoseini</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Today’s modern interconnected power system is highly complex in nature. In this, one of the most important requirements during the operation of the electric power system is the reliability and security. Power and frequency oscillation damping mechanism improve the reliability. Because of power system stabilizer (PSS) low speed response against of major fault such as three phase short circuit, FACTs devise that can control the network condition in very fast time, are becoming popular. However, FACTs capability can be seen in a major fault present when nonlinear models of FACTs devise and power system equipment are applied. To realize this aim, the model of multi-machine power system with FACTs controller is developed in MATLAB/SIMULINK using Sim Power System (SPS) blockiest. Among the FACTs device, Static synchronous series compensator (SSSC) due to high speed changes its reactance characteristic inductive to capacitive, is effective power flow controller. Tuning process of controller parameter can be performed using different method. However, Genetic Algorithm (GA) ability tends to use it in controller parameter tuning process. In this paper, firstly POD controller is used to power oscillation damping. But in this station, frequency oscillation dos not has proper damping situation. Therefore, FOD controller that is tuned using GA is using that cause to damp out frequency oscillation properly and power oscillation damping has suitable situation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=power%20oscillation%20damping%20%28POD%29" title="power oscillation damping (POD)">power oscillation damping (POD)</a>, <a href="https://publications.waset.org/abstracts/search?q=frequency%20oscillation%20damping%20%28FOD%29" title=" frequency oscillation damping (FOD)"> frequency oscillation damping (FOD)</a>, <a href="https://publications.waset.org/abstracts/search?q=Static%20synchronous%20series%20compensator%20%28SSSC%29" title=" Static synchronous series compensator (SSSC)"> Static synchronous series compensator (SSSC)</a>, <a href="https://publications.waset.org/abstracts/search?q=Genetic%20Algorithm%20%28GA%29" title=" Genetic Algorithm (GA)"> Genetic Algorithm (GA)</a> </p> <a href="https://publications.waset.org/abstracts/18560/assessment-power-and-oscillation-damping-using-the-pod-controller-and-proposed-fod-controller" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18560.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">476</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12844</span> Design of IMC-PID Controller Cascaded Filter for Simplified Decoupling Control System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Le%20Linh">Le Linh</a>, <a href="https://publications.waset.org/abstracts/search?q=Truong%20Nguyen%20Luan%20Vu"> Truong Nguyen Luan Vu</a>, <a href="https://publications.waset.org/abstracts/search?q=Le%20Hieu%20Giang"> Le Hieu Giang </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work, the IMC-PID controller cascaded filter based on Internal Model Control (IMC) scheme is systematically proposed for the simplified decoupling control system. The simplified decoupling is firstly introduced for multivariable processes by using coefficient matching to obtain a stable, proper, and causal simplified decoupler. Accordingly, transfer functions of decoupled apparent processes can be expressed as a set of <em>n</em> equivalent independent processes and then derived as a ratio of the original open-loop transfer function to the diagonal element of the dynamic relative gain array. The IMC-PID controller in series with filter is then directly employed to enhance the overall performance of the decoupling control system while avoiding difficulties arising from properties inherent to simplified decoupling. Some simulation studies are considered to demonstrate the simplicity and effectiveness of the proposed method. Simulations were conducted by tuning various controllers of the multivariate processes with multiple time delays. The results indicate that the proposed method consistently performs well with fast and well-balanced closed-loop time responses. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coefficient%20matching%20method" title="coefficient matching method">coefficient matching method</a>, <a href="https://publications.waset.org/abstracts/search?q=internal%20model%20control%20%28IMC%29%20scheme" title=" internal model control (IMC) scheme"> internal model control (IMC) scheme</a>, <a href="https://publications.waset.org/abstracts/search?q=PID%20controller%20cascaded%20filter" title=" PID controller cascaded filter"> PID controller cascaded filter</a>, <a href="https://publications.waset.org/abstracts/search?q=simplified%20decoupler" title=" simplified decoupler"> simplified decoupler</a> </p> <a href="https://publications.waset.org/abstracts/48781/design-of-imc-pid-controller-cascaded-filter-for-simplified-decoupling-control-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48781.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">442</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12843</span> Sliding Mode Control of Bilateral Teleoperation System with Time Delay</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Forouzantabar">Ahmad Forouzantabar</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Azadi"> Mohammad Azadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents sliding mode controller for bilateral teleoperation systems with robotic master and slave under constant communication delays. We extend the passivity-based coordination architecture to enhance position and force tracking in the presence of offset in initial conditions, environmental contacts and unknown parameters such as friction coefficient. To address these difficulties, a nonlinear sliding mode controller is designed to approximate the nonlinear dynamics of master and slave robots and improve both position and force tracking. Using the Lyapunov theory, the boundedness of master- slave tracking errors and the stability of the teleoperation system are also guaranteed. Numerical simulations show that proposed controller position and force tracking performances are superior to that of conventional coordination controller tracking performances. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lyapunov%20stability" title="Lyapunov stability">Lyapunov stability</a>, <a href="https://publications.waset.org/abstracts/search?q=teleoperation%20system" title=" teleoperation system"> teleoperation system</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20delay" title=" time delay"> time delay</a>, <a href="https://publications.waset.org/abstracts/search?q=sliding%20mode%20controller" title=" sliding mode controller"> sliding mode controller</a> </p> <a href="https://publications.waset.org/abstracts/45830/sliding-mode-control-of-bilateral-teleoperation-system-with-time-delay" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45830.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">384</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12842</span> Design and Implementation of PD-NN Controller Optimized Neural Networks for a Quad-Rotor</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chiraz%20Ben%20Jabeur">Chiraz Ben Jabeur</a>, <a href="https://publications.waset.org/abstracts/search?q=Hassene%20Seddik"> Hassene Seddik</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a full approach of modeling and control of a four-rotor unmanned air vehicle (UAV), known as quad-rotor aircraft, is presented. In fact, a PD and a PD optimized Neural Networks Approaches (PD-NN) are developed to be applied to control a quad-rotor. The goal of this work is to concept a smart self-tuning PD controller based on neural networks able to supervise the quad-rotor for an optimized behavior while tracking the desired trajectory. Many challenges could arise if the quad-rotor is navigating in hostile environments presenting irregular disturbances in the form of wind added to the model on each axis. Thus, the quad-rotor is subject to three-dimensional unknown static/varying wind disturbances. The quad-rotor has to quickly perform tasks while ensuring stability and accuracy and must behave rapidly with regard to decision-making facing disturbances. This technique offers some advantages over conventional control methods such as PD controller. Simulation results are obtained with the use of Matlab/Simulink environment and are founded on a comparative study between PD and PD-NN controllers based on wind disturbances. These later are applied with several degrees of strength to test the quad-rotor behavior. These simulation results are satisfactory and have demonstrated the effectiveness of the proposed PD-NN approach. In fact, this controller has relatively smaller errors than the PD controller and has a better capability to reject disturbances. In addition, it has proven to be highly robust and efficient, facing turbulences in the form of wind disturbances. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hostile%20environment" title="hostile environment">hostile environment</a>, <a href="https://publications.waset.org/abstracts/search?q=PD%20and%20PD-NN%20controllers" title=" PD and PD-NN controllers"> PD and PD-NN controllers</a>, <a href="https://publications.waset.org/abstracts/search?q=quad-rotor%20control" title=" quad-rotor control"> quad-rotor control</a>, <a href="https://publications.waset.org/abstracts/search?q=robustness%20against%20disturbance" title=" robustness against disturbance"> robustness against disturbance</a> </p> <a href="https://publications.waset.org/abstracts/134706/design-and-implementation-of-pd-nn-controller-optimized-neural-networks-for-a-quad-rotor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134706.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">136</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12841</span> Implementation of Model Reference Adaptive Control in Tuning of Controller Gains for Following-Vehicle System with Fixed Time Headway</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fatemeh%20Behbahani">Fatemeh Behbahani</a>, <a href="https://publications.waset.org/abstracts/search?q=Rubiyah%20Yusof"> Rubiyah Yusof</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To avoid collision between following vehicles and vehicles in front, it is vital to keep appropriate, safe spacing between both vehicles over all speeds. Therefore, the following vehicle needs to have exact information regarding the speed and spacing between vehicles. This project is conducted to simulate the tuning of controller gain for a vehicle-following system through the selected control strategy, spacing control policy and fixed-time headway policy. In addition, the paper simulates and designs an adaptive gain controller for a road-vehicle-following system which uses information on the spacing, velocity and also acceleration of a preceding vehicle in the proposed one-vehicle look-ahead strategy. The mathematical model is implemented using Kirchhoff and Newton’s Laws, and stability simulated. The trial-error method was used to obtain a suitable value of controller gain. However, the adaptive-based controller system was able to optimize the gain value automatically. Model Reference Adaptive Control (MRAC) is designed and utilized and based on firstly the Gradient and secondly the Lyapunov approach. The Lyapunov approach considers stability. The Gradient approach was found to improve the best value of gain in the controller system with fixed-time headway. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=one-vehicle%20look-ahead" title="one-vehicle look-ahead">one-vehicle look-ahead</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20reference%20adaptive" title=" model reference adaptive"> model reference adaptive</a>, <a href="https://publications.waset.org/abstracts/search?q=stability" title=" stability"> stability</a>, <a href="https://publications.waset.org/abstracts/search?q=tuning%20gain%20controller" title=" tuning gain controller"> tuning gain controller</a>, <a href="https://publications.waset.org/abstracts/search?q=MRAC" title=" MRAC"> MRAC</a> </p> <a href="https://publications.waset.org/abstracts/78271/implementation-of-model-reference-adaptive-control-in-tuning-of-controller-gains-for-following-vehicle-system-with-fixed-time-headway" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78271.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">238</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12840</span> Intelligent Path Tracking Hybrid Fuzzy Controller for a Unicycle-Type Differential Drive Robot</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdullah%20M.%20Almeshal">Abdullah M. Almeshal</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20R.%20Alenezi"> Mohammad R. Alenezi</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Moaz"> Muhammad Moaz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we discuss the performance of applying hybrid spiral dynamic bacterial chemotaxis (HSDBC) optimisation algorithm on an intelligent controller for a differential drive robot. A unicycle class of differential drive robot is utilised to serve as a basis application to evaluate the performance of the HSDBC algorithm. A hybrid fuzzy logic controller is developed and implemented for the unicycle robot to follow a predefined trajectory. Trajectories of various frictional profiles and levels were simulated to evaluate the performance of the robot at different operating conditions. Controller gains and scaling factors were optimised using HSDBC and the performance is evaluated in comparison to previously adopted optimisation algorithms. The HSDBC has proven its feasibility in achieving a faster convergence toward the optimal gains and resulted in a superior performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=differential%20drive%20robot" title="differential drive robot">differential drive robot</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20fuzzy%20controller" title=" hybrid fuzzy controller"> hybrid fuzzy controller</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=path%20tracking" title=" path tracking"> path tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=unicycle%20robot" title=" unicycle robot"> unicycle robot</a> </p> <a href="https://publications.waset.org/abstracts/30098/intelligent-path-tracking-hybrid-fuzzy-controller-for-a-unicycle-type-differential-drive-robot" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30098.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">463</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12839</span> Artificial Neural Network Speed Controller for Excited DC Motor</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Elabed%20Saud">Elabed Saud</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces the new ability of Artificial Neural Networks (ANNs) in estimating speed and controlling the separately excited DC motor. The neural control scheme consists of two parts. One is the neural estimator which is used to estimate the motor speed. The other is the neural controller which is used to generate a control signal for a converter. These two neutrals are training by Levenberg-Marquardt back-propagation algorithm. ANNs are the standard three layers feed-forward neural network with sigmoid activation functions in the input and hidden layers and purelin in the output layer. Simulation results are presented to demonstrate the effectiveness of this neural and advantage of the control system DC motor with ANNs in comparison with the conventional scheme without ANNs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Artificial%20Neural%20Network%20%28ANNs%29" title="Artificial Neural Network (ANNs)">Artificial Neural Network (ANNs)</a>, <a href="https://publications.waset.org/abstracts/search?q=excited%20DC%20motor" title=" excited DC motor"> excited DC motor</a>, <a href="https://publications.waset.org/abstracts/search?q=convenional%20controller" title=" convenional controller"> convenional controller</a>, <a href="https://publications.waset.org/abstracts/search?q=speed%20Controller" title=" speed Controller"> speed Controller</a> </p> <a href="https://publications.waset.org/abstracts/21941/artificial-neural-network-speed-controller-for-excited-dc-motor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21941.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">726</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12838</span> Model-Based Control for Piezoelectric-Actuated Systems Using Inverse Prandtl-Ishlinskii Model and Particle Swarm Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jin-Wei%20Liang">Jin-Wei Liang</a>, <a href="https://publications.waset.org/abstracts/search?q=Hung-Yi%20Chen"> Hung-Yi Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Lung%20Lin"> Lung Lin </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper feedforward controller is designed to eliminate nonlinear hysteresis behaviors of a piezoelectric stack actuator (PSA) driven system. The control design is based on inverse Prandtl-Ishlinskii (P-I) hysteresis model identified using particle swarm optimization (PSO) technique. Based on the identified P-I model, both the inverse P-I hysteresis model and feedforward controller can be determined. Experimental results obtained using the inverse P-I feedforward control are compared with their counterparts using hysteresis estimates obtained from the identified Bouc-Wen model. Effectiveness of the proposed feedforward control scheme is demonstrated. To improve control performance feedback compensation using traditional PID scheme is adopted to integrate with the feedforward controller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=the%20Bouc-Wen%20hysteresis%20model" title="the Bouc-Wen hysteresis model">the Bouc-Wen hysteresis model</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20swarm%20optimization" title=" particle swarm optimization"> particle swarm optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=Prandtl-Ishlinskii%20model" title=" Prandtl-Ishlinskii model"> Prandtl-Ishlinskii model</a>, <a href="https://publications.waset.org/abstracts/search?q=automation%20engineering" title=" automation engineering"> automation engineering</a> </p> <a href="https://publications.waset.org/abstracts/4325/model-based-control-for-piezoelectric-actuated-systems-using-inverse-prandtl-ishlinskii-model-and-particle-swarm-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/4325.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">514</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12837</span> Conditions for Model Matching of Switched Asynchronous Sequential Machines with Output Feedback</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jung%E2%80%93Min%20Yang">Jung–Min Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Solvability of the model matching problem for input/output switched asynchronous sequential machines is discussed in this paper. The control objective is to determine the existence condition and design algorithm for a corrective controller that can match the stable-state behavior of the closed-loop system to that of a reference model. Switching operations and correction procedures are incorporated using output feedback so that the controlled switched machine can show the desired input/output behavior. A matrix expression is presented to address reachability of switched asynchronous sequential machines with output equivalence with respect to a model. The presented reachability condition for the controller design is validated in a simple example. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=asynchronous%20sequential%20machines" title="asynchronous sequential machines">asynchronous sequential machines</a>, <a href="https://publications.waset.org/abstracts/search?q=corrective%20control" title=" corrective control"> corrective control</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20matching" title=" model matching"> model matching</a>, <a href="https://publications.waset.org/abstracts/search?q=input%2Foutput%20control" title=" input/output control"> input/output control</a> </p> <a href="https://publications.waset.org/abstracts/62600/conditions-for-model-matching-of-switched-asynchronous-sequential-machines-with-output-feedback" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62600.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">342</span> </span> </div> </div> <ul class="pagination"> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=controller%20design&page=3" rel="prev">&lsaquo;</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=controller%20design&page=1">1</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=controller%20design&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=controller%20design&page=3">3</a></li> <li class="page-item active"><span class="page-link">4</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=controller%20design&page=5">5</a></li> <li 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