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integral derivative control</title> <meta name="description" content="Search results for: proportional integral derivative control"> <meta name="keywords" content="proportional integral derivative control"> <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 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results for: proportional integral derivative control</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12046</span> A Comparative Study on a Tilt-Integral-Derivative Controller with Proportional-Integral-Derivative Controller for a Pacemaker</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aysan%20Esgandanian">Aysan Esgandanian</a>, <a href="https://publications.waset.org/abstracts/search?q=Sabalan%20Daneshvar"> Sabalan Daneshvar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study is done to determine the comparison between proportional-integral-derivative controller (PID controller) and tilt-integral-derivative (TID controller) for cardiac pacemaker systems, which can automatically control the heart rate to accurately track a desired preset profile. The controller offers good adaption of heart to the physiological needs of the patient. The parameters of the both controllers are tuned by particle swarm optimization (PSO) algorithm which uses the integral of time square error as a fitness function to be minimized. Simulation results are performed on the developed cardiovascular system of humans and results demonstrate that the TID controller produces superior control performance than PID controllers. In this paper, all simulations were performed in Matlab. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=integral%20of%20time%20square%20error" title="integral of time square error">integral of time square error</a>, <a href="https://publications.waset.org/abstracts/search?q=pacemaker%20systems" title=" pacemaker systems"> pacemaker systems</a>, <a href="https://publications.waset.org/abstracts/search?q=proportional-integral-derivative%20controller" title=" proportional-integral-derivative controller"> proportional-integral-derivative controller</a>, <a href="https://publications.waset.org/abstracts/search?q=PSO%20algorithm" title=" PSO algorithm"> PSO algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=tilt-integral-derivative%20controller" title=" tilt-integral-derivative controller"> tilt-integral-derivative controller</a> </p> <a href="https://publications.waset.org/abstracts/43351/a-comparative-study-on-a-tilt-integral-derivative-controller-with-proportional-integral-derivative-controller-for-a-pacemaker" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43351.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">462</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">12045</span> The Exploitation of Balancing an Inverted Pendulum System Using Sliding Mode Control</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sheren%20H.%20Salah">Sheren H. Salah</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Y.%20Ben%20Sasi"> Ahmed Y. Ben Sasi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The inverted pendulum system is a classic control problem that is used in universities around the world. It is a suitable process to test prototype controllers due to its high non-linearities and lack of stability. The inverted pendulum represents a challenging control problem, which continually moves toward an uncontrolled state. This paper presents the possibility of balancing an inverted pendulum system using sliding mode control (SMC). The goal is to determine which control strategy delivers better performance with respect to pendulum’s angle and cart's position. Therefore, proportional-integral-derivative (PID) is used for comparison. Results have proven SMC control produced better response compared to PID control in both normal and noisy systems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inverted%20pendulum%20%28IP%29" title="inverted pendulum (IP)">inverted pendulum (IP)</a>, <a href="https://publications.waset.org/abstracts/search?q=proportional-integral%20derivative%20%28PID%29" title=" proportional-integral derivative (PID)"> proportional-integral derivative (PID)</a>, <a href="https://publications.waset.org/abstracts/search?q=sliding%20mode%20control%20%28SMC%29" title=" sliding mode control (SMC)"> sliding mode control (SMC)</a>, <a href="https://publications.waset.org/abstracts/search?q=systems%20and%20control%20engineering" title=" systems and control engineering"> systems and control engineering</a> </p> <a href="https://publications.waset.org/abstracts/12504/the-exploitation-of-balancing-an-inverted-pendulum-system-using-sliding-mode-control" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12504.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">587</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">12044</span> Model Predictive Control (MPC) and Proportional-Integral-Derivative (PID) Control of Quadcopters: A Comparative Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anel%20Hasi%C4%87">Anel Hasi膰</a>, <a href="https://publications.waset.org/abstracts/search?q=Naser%20Prlja%C4%8Da"> Naser Prlja膷a</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the domain of autonomous or piloted flights, the accurate control of quadrotor trajectories is of paramount significance for large numbers of tasks. These adaptable aerial platforms find applications that span from high-precision aerial photography and surveillance to demanding search and rescue missions. Among the fundamental challenges confronting quadrotor operation is the demand for accurate following of desired flight paths. To address this control challenge, among others, two celebrated well-established control strategies have emerged as noteworthy contenders: Model Predictive Control (MPC) and Proportional-Integral-Derivative (PID) control. In this work, we focus on the extensive examination of MPC and PID control techniques by using comprehensive simulation studies in MATLAB/Simulink. Intensive simulation results demonstrate the performance of the studied control algorithms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=MATLAB" title="MATLAB">MATLAB</a>, <a href="https://publications.waset.org/abstracts/search?q=MPC" title=" MPC"> MPC</a>, <a href="https://publications.waset.org/abstracts/search?q=PID" title=" PID"> PID</a>, <a href="https://publications.waset.org/abstracts/search?q=quadcopter" title=" quadcopter"> quadcopter</a>, <a href="https://publications.waset.org/abstracts/search?q=simulink" title=" simulink"> simulink</a> </p> <a href="https://publications.waset.org/abstracts/186321/model-predictive-control-mpc-and-proportional-integral-derivative-pid-control-of-quadcopters-a-comparative-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186321.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">68</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">12043</span> Object-Oriented Multivariate Proportional-Integral-Derivative Control of Hydraulic Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=J.%20Fernandez%20de%20Canete">J. Fernandez de Canete</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Fernandez-Calvo"> S. Fernandez-Calvo</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20Garc%C3%ADa-Moral"> I. Garc铆a-Moral</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents and discusses the application of the object-oriented modelling software SIMSCAPE to hydraulic systems, with particular reference to multivariable proportional-integral-derivative (PID) control. As a result, a particular modelling approach of a double cylinder-piston coupled system is proposed and motivated, and the SIMULINK based PID tuning tool has also been used to select the proper controller parameters. The paper demonstrates the usefulness of the object-oriented approach when both physical modelling and control are tackled. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=object-oriented%20modeling" title="object-oriented modeling">object-oriented modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=multivariable%20hydraulic%20system" title=" multivariable hydraulic system"> multivariable hydraulic system</a>, <a href="https://publications.waset.org/abstracts/search?q=multivariable%20PID%20control" title=" multivariable PID control"> multivariable PID control</a>, <a href="https://publications.waset.org/abstracts/search?q=computer%20simulation" title=" computer simulation"> computer simulation</a> </p> <a href="https://publications.waset.org/abstracts/67799/object-oriented-multivariate-proportional-integral-derivative-control-of-hydraulic-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67799.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">349</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">12042</span> Simulation and Analysis of Inverted Pendulum Controllers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sheren%20H.%20Salah">Sheren H. Salah </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The inverted pendulum is a highly nonlinear and open-loop unstable system. An inverted pendulum (IP) is a pendulum which has its mass above its pivot point. It is often implemented with the pivot point mounted on a cart that can move horizontally and may be called a cart and pole. The characteristics of the inverted pendulum make identification and control more challenging. This paper presents the simulation study of several control strategies for an inverted pendulum system. The goal is to determine which control strategy delivers better performance with respect to pendulum鈥檚 angle. The inverted pendulum represents a challenging control problem, which continually moves toward an uncontrolled state. For controlling the inverted pendulum. The simulation study that sliding mode control (SMC) control produced better response compared to Genetic Algorithm Control (GAs) and proportional-integral-derivative(PID) control. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Inverted%20Pendulum%20%28IP%29%20Proportional-Integral-Derivative%20%28PID%29" title="Inverted Pendulum (IP) Proportional-Integral-Derivative (PID)">Inverted Pendulum (IP) Proportional-Integral-Derivative (PID)</a>, <a href="https://publications.waset.org/abstracts/search?q=Genetic%20Algorithm%20Control%20%28GAs%29" title=" Genetic Algorithm Control (GAs)"> Genetic Algorithm Control (GAs)</a>, <a href="https://publications.waset.org/abstracts/search?q=Sliding%20Mode%20Control%20%28SMC%29" title=" Sliding Mode Control (SMC)"> Sliding Mode Control (SMC)</a> </p> <a href="https://publications.waset.org/abstracts/27914/simulation-and-analysis-of-inverted-pendulum-controllers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27914.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">555</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">12041</span> Modeling and Controlling the Rotational Degree of a Quadcopter Using Proportional Integral and Derivative Controller</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sanjay%20Kumar">Sanjay Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Lillie%20Dewan"> Lillie Dewan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study of complex dynamic systems has advanced through various scientific approaches with the help of computer modeling. The common design trends in aerospace system design can be applied to quadcopter design. A quadcopter is a nonlinear, under-actuated system with complex aerodynamics parameters and creates challenges that demand new, robust, and effective control approaches. The flight control stability can be improved by planning and tracking the trajectory and reducing the effect of sensors and the operational environment. This paper presents a modern design Simmechanics visual modeling approach for a mechanical model of a quadcopter with three degrees of freedom. The Simmechanics model, considering inertia, mass, and geometric properties of a dynamic system, produces multiple translation and rotation maneuvers. The proportional, integral, and derivative (PID) controller is integrated with the Simmechanics model to follow a predefined quadcopter rotational trajectory for a fixed time interval. The results presented are satisfying. The simulation of the quadcopter control performed operations successfully. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20system" title="nonlinear system">nonlinear system</a>, <a href="https://publications.waset.org/abstracts/search?q=quadcopter%20model" title=" quadcopter model"> quadcopter model</a>, <a href="https://publications.waset.org/abstracts/search?q=simscape%20modelling" title=" simscape modelling"> simscape modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=proportional-integral-derivative%20controller" title=" proportional-integral-derivative controller"> proportional-integral-derivative controller</a> </p> <a href="https://publications.waset.org/abstracts/139466/modeling-and-controlling-the-rotational-degree-of-a-quadcopter-using-proportional-integral-and-derivative-controller" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/139466.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">196</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">12040</span> Tuning Fractional Order Proportional-Integral-Derivative Controller Using Hybrid Genetic Algorithm Particle Swarm and Differential Evolution Optimization Methods for Automatic Voltage Regulator System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fouzi%20Aboura">Fouzi Aboura</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The fractional order proportional-integral-derivative (FOPID) controller or fractional order (PI位D碌) is a proportional-integral-derivative (PID) controller where integral order (位) and derivative order (碌) are fractional, one of the important application of classical PID is the Automatic Voltage Regulator (AVR).The FOPID controller needs five parameters optimization while the design of conventional PID controller needs only three parameters to be optimized. In our paper we have proposed a comparison between algorithms Differential Evolution (DE) and Hybrid Genetic Algorithm Particle Swarm Optimization (HGAPSO) ,we have studied theirs characteristics and performance analysis to find an optimum parameters of the FOPID controller, a new objective function is also proposed to take into account the relation between the performance criteria鈥檚. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=FOPID%20controller" title="FOPID controller">FOPID controller</a>, <a href="https://publications.waset.org/abstracts/search?q=fractional%20order" title=" fractional order"> fractional order</a>, <a href="https://publications.waset.org/abstracts/search?q=AVR%20system" title=" AVR system"> AVR system</a>, <a href="https://publications.waset.org/abstracts/search?q=objective%20function" title=" objective function"> objective function</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=GA" title=" GA"> GA</a>, <a href="https://publications.waset.org/abstracts/search?q=PSO" title=" PSO"> PSO</a>, <a href="https://publications.waset.org/abstracts/search?q=HGAPSO" title=" HGAPSO"> HGAPSO</a> </p> <a href="https://publications.waset.org/abstracts/164900/tuning-fractional-order-proportional-integral-derivative-controller-using-hybrid-genetic-algorithm-particle-swarm-and-differential-evolution-optimization-methods-for-automatic-voltage-regulator-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164900.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">90</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">12039</span> Neural Network Supervisory Proportional-Integral-Derivative Control of the Pressurized Water Reactor Core Power Load Following Operation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Derjew%20Ayele%20Ejigu">Derjew Ayele Ejigu</a>, <a href="https://publications.waset.org/abstracts/search?q=Houde%20Song"> Houde Song</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaojing%20Liu"> Xiaojing Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This work presents the particle swarm optimization trained neural network (PSO-NN) supervisory proportional integral derivative (PID) control method to monitor the pressurized water reactor (PWR) core power for safe operation. The proposed control approach is implemented on the transfer function of the PWR core, which is computed from the state-space model. The PWR core state-space model is designed from the neutronics, thermal-hydraulics, and reactivity models using perturbation around the equilibrium value. The proposed control approach computes the control rod speed to maneuver the core power to track the reference in a closed-loop scheme. The particle swarm optimization (PSO) algorithm is used to train the neural network (NN) and to tune the PID simultaneously. The controller performance is examined using integral absolute error, integral time absolute error, integral square error, and integral time square error functions, and the stability of the system is analyzed by using the Bode diagram. The simulation results indicated that the controller shows satisfactory performance to control and track the load power effectively and smoothly as compared to the PSO-PID control technique. This study will give benefit to design a supervisory controller for nuclear engineering research fields for control application. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title="machine learning">machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=pressurized%20water%20reactor" title=" pressurized water reactor"> pressurized water reactor</a>, <a href="https://publications.waset.org/abstracts/search?q=supervisory%20controller" title=" supervisory controller"> supervisory controller</a> </p> <a href="https://publications.waset.org/abstracts/140523/neural-network-supervisory-proportional-integral-derivative-control-of-the-pressurized-water-reactor-core-power-load-following-operation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/140523.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">155</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">12038</span> Comparison of Proportional-Integral (P-I) and Integral-Propotional (I-P) Controllers for Speed Control in Vector Controlled Permanent Magnet Synchronous Motor Drive</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=V.%20Srikanth">V. Srikanth</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Balasubramanian"> K. Balasubramanian</a>, <a href="https://publications.waset.org/abstracts/search?q=Rajath%20R.%20Bhat"> Rajath R. Bhat</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20S.%20Arjun"> A. S. Arjun</a>, <a href="https://publications.waset.org/abstracts/search?q=Nandhu%20Venugopal"> Nandhu Venugopal</a>, <a href="https://publications.waset.org/abstracts/search?q=Ananthu%20Unnikrishnan"> Ananthu Unnikrishnan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Indirect vector control is known to produce high performance in Permanent Magnet Synchronous Motor (PMSM) drives by decoupling flux and torque producing current components of stator current. The most commonly used controller or the vector control of AC motor is Proportional-Integral (P-I) controller. However, the P-I controller has some disadvantages such as high starting overshoot, sensitivity to controller gains and slower response to sudden disturbance. Therefore, the Integral-Proportional controller for PMSM drives to overcome the disadvantages of the P-I controller. Simulations results are presented and analyzed for both controllers and it is observed that Integral-Proportional (I-P) controllers give better responses than the traditional P-I controllers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PMSM" title="PMSM">PMSM</a>, <a href="https://publications.waset.org/abstracts/search?q=FOC" title=" FOC"> FOC</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=IP%20controller" title=" IP controller"> IP controller</a> </p> <a href="https://publications.waset.org/abstracts/51399/comparison-of-proportional-integral-p-i-and-integral-propotional-i-p-controllers-for-speed-control-in-vector-controlled-permanent-magnet-synchronous-motor-drive" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/51399.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">359</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">12037</span> Design of a Cooperative Neural Network, Particle Swarm Optimization (PSO) and Fuzzy Based Tracking Control for a Tilt Rotor Unmanned Aerial Vehicle </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mostafa%20Mjahed">Mostafa Mjahed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Tilt Rotor UAVs (Unmanned Aerial Vehicles) are naturally unstable and difficult to maneuver. The purpose of this paper is to design controllers for the stabilization and trajectory tracking of this type of UAV. To this end, artificial intelligence methods have been exploited. First, the dynamics of this UAV was modeled using the Lagrange-Euler method. The conventional method based on Proportional, Integral and Derivative (PID) control was applied by decoupling the different flight modes. To improve stability and trajectory tracking of the Tilt Rotor, the fuzzy approach and the technique of multilayer neural networks (NN) has been used. Thus, Fuzzy Proportional Integral and Derivative (FPID) and Neural Network-based Proportional Integral and Derivative controllers (NNPID) have been developed. The meta-heuristic approach based on Particle Swarm Optimization (PSO) method allowed adjusting the setting parameters of NNPID controller, giving us an improved NNPID-PSO controller. Simulation results under the Matlab environment show the efficiency of the approaches adopted. Besides, the Tilt Rotor UAV has become stable and follows different types of trajectories with acceptable precision. The Fuzzy, NN and NN-PSO-based approaches demonstrated their robustness because the presence of the disturbances did not alter the stability or the trajectory tracking of the Tilt Rotor UAV. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title="neural network">neural network</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=PSO" title=" PSO"> PSO</a>, <a href="https://publications.waset.org/abstracts/search?q=PID" title=" PID"> PID</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=tilt-rotor%20UAV" title=" tilt-rotor UAV"> tilt-rotor UAV</a> </p> <a href="https://publications.waset.org/abstracts/115686/design-of-a-cooperative-neural-network-particle-swarm-optimization-pso-and-fuzzy-based-tracking-control-for-a-tilt-rotor-unmanned-aerial-vehicle" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115686.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">119</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">12036</span> Identification and Force Control of a Two Chambers Pneumatic Soft Actuator</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Najib%20K.%20Dankadai">Najib K. Dankadai</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20%27Athif%20Mohd%20Faudzi"> Ahmad 'Athif Mohd Faudzi</a>, <a href="https://publications.waset.org/abstracts/search?q=Khairuddin%20Osman"> Khairuddin Osman</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Rusydi%20Muhammad%20Razif"> Muhammad Rusydi Muhammad Razif</a>, <a href="https://publications.waset.org/abstracts/search?q=IIi%20Najaa%20Aimi%20Mohd%20Nordin"> IIi Najaa Aimi Mohd Nordin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Researches in soft actuators are now growing rapidly because of their adequacy to be applied in sectors like medical, agriculture, biological and welfare. This paper presents system identification (SI) and control of the force generated by a two chambers pneumatic soft actuator (PSA). A force mathematical model for the actuator was identified experimentally using data acquisition card and MATLAB SI toolbox. Two control techniques; a predictive functional control (PFC) and conventional proportional integral and derivative (PID) schemes are proposed and compared based on the identified model for the soft actuator flexible mechanism. Results of this study showed that both of the proposed controllers ensure accurate tracking when the closed loop system was tested with the step, sinusoidal and multi step reference input through MATLAB simulation although the PFC provides a better response than the PID. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=predictive%20functional%20control%20%28PFC%29" title="predictive functional control (PFC)">predictive functional control (PFC)</a>, <a href="https://publications.waset.org/abstracts/search?q=proportional%20integral%20and%20derivative%20%28PID%29" title=" proportional integral and derivative (PID)"> proportional integral and derivative (PID)</a>, <a href="https://publications.waset.org/abstracts/search?q=soft%20actuator" title=" soft actuator"> soft actuator</a>, <a href="https://publications.waset.org/abstracts/search?q=system%20identification" title=" system identification"> system identification</a> </p> <a href="https://publications.waset.org/abstracts/55153/identification-and-force-control-of-a-two-chambers-pneumatic-soft-actuator" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55153.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">325</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">12035</span> On a Univalent Function and the Integral Means of Its Derivative</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shatha%20S.%20Alhily">Shatha S. Alhily</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this research paper is to show all the possible values of the pth power of the integrable function which make the integral means of the derivative of univalent function existing and 铿乶ite. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=derivative" title="derivative">derivative</a>, <a href="https://publications.waset.org/abstracts/search?q=integral%20means" title=" integral means"> integral means</a>, <a href="https://publications.waset.org/abstracts/search?q=self%20conformal%20maps" title=" self conformal maps"> self conformal maps</a>, <a href="https://publications.waset.org/abstracts/search?q=univalent%20function" title=" univalent function"> univalent function</a> </p> <a href="https://publications.waset.org/abstracts/34053/on-a-univalent-function-and-the-integral-means-of-its-derivative" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34053.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">629</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">12034</span> Design of Optimal Proportional Integral Derivative Attitude Controller for an Uncoupled Flexible Satellite Using Particle Swarm Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Martha%20C.%20Orazulume">Martha C. Orazulume</a>, <a href="https://publications.waset.org/abstracts/search?q=Jibril%20D.%20Jiya"> Jibril D. Jiya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Flexible satellites are equipped with various appendages which vibrate under the influence of any excitation and make the attitude of the satellite to be unstable. Therefore, the system must be able to adjust to balance the effect of these appendages in order to point accurately and satisfactorily which is one of the most important problems in satellite design. Proportional Integral Derivative (PID) Controller is simple to design and computationally efficient to implement which is used to stabilize the effect of these flexible appendages. However, manual turning of the PID is time consuming, waste energy and money. Particle Swarm Optimization (PSO) is used to tune the parameters of PID Controller. Simulation results obtained show that PSO tuned PID Controller is able to re-orient the spacecraft attitude as well as dampen the effect of mechanical resonance and yields better performance when compared with manually tuned PID Controller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Attitude%20Control" title="Attitude Control">Attitude Control</a>, <a href="https://publications.waset.org/abstracts/search?q=Flexible%20Satellite" title=" Flexible Satellite"> Flexible Satellite</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=PID%20Controller%20and%20Optimization" title=" PID Controller and Optimization"> PID Controller and Optimization</a> </p> <a href="https://publications.waset.org/abstracts/37412/design-of-optimal-proportional-integral-derivative-attitude-controller-for-an-uncoupled-flexible-satellite-using-particle-swarm-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37412.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">401</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">12033</span> Proportional and Integral Controller-Based Direct Current Servo Motor Speed Characterization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adel%20Salem%20Bahakeem">Adel Salem Bahakeem</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Jamal"> Ahmad Jamal</a>, <a href="https://publications.waset.org/abstracts/search?q=Mir%20Md.%20Maruf%20Morshed"> Mir Md. Maruf Morshed</a>, <a href="https://publications.waset.org/abstracts/search?q=Elwaleed%20Awad%20Khidir"> Elwaleed Awad Khidir</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Direct Current (DC) servo motors, or simply DC motors, play an important role in many industrial applications such as manufacturing of plastics, precise positioning of the equipment, and operating computer-controlled systems where speed of feed control, maintaining the position, and ensuring to have a constantly desired output is very critical. These parameters can be controlled with the help of control systems such as the Proportional Integral Derivative (PID) controller. The aim of the current work is to investigate the effects of Proportional (P) and Integral (I) controllers on the steady state and transient response of the DC motor. The controller gains are varied to observe their effects on the error, damping, and stability of the steady and transient motor response. The current investigation is conducted experimentally on a servo trainer CE 110 using analog PI controller CE 120 and theoretically using Simulink in MATLAB. Both experimental and theoretical work involves varying integral controller gain to obtain the response to a steady-state input, varying, individually, the proportional and integral controller gains to obtain the response to a step input function at a certain frequency, and theoretically obtaining the proportional and integral controller gains for desired values of damping ratio and response frequency. Results reveal that a proportional controller helps reduce the steady-state and transient error between the input signal and output response and makes the system more stable. In addition, it also speeds up the response of the system. On the other hand, the integral controller eliminates the error but tends to make the system unstable with induced oscillations and slow response to eliminate the error. From the current work, it is desired to achieve a stable response of the servo motor in terms of its angular velocity subjected to steady-state and transient input signals by utilizing the strengths of both P and I controllers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DC%20servo%20motor" title="DC servo motor">DC servo motor</a>, <a href="https://publications.waset.org/abstracts/search?q=proportional%20controller" title=" proportional controller"> proportional controller</a>, <a href="https://publications.waset.org/abstracts/search?q=integral%20controller" title=" integral controller"> integral controller</a>, <a href="https://publications.waset.org/abstracts/search?q=controller%20gain%20optimization" title=" controller gain optimization"> controller gain optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=Simulink" title=" Simulink"> Simulink</a> </p> <a href="https://publications.waset.org/abstracts/157160/proportional-and-integral-controller-based-direct-current-servo-motor-speed-characterization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157160.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">12032</span> Chassis Level Control Using Proportional Integrated Derivative Control, Fuzzy Logic and Deep Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Atakan%20Aral%20Ormanc%C4%B1">Atakan Aral Ormanc谋</a>, <a href="https://publications.waset.org/abstracts/search?q=Tu%C4%9F%C3%A7e%20Arslanta%C5%9F"> Tu臒莽e Arslanta艧</a>, <a href="https://publications.waset.org/abstracts/search?q=Murat%20%C3%96zc%C3%BC"> Murat 脰zc眉</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study presents the design and implementation of an experimental chassis-level system for various control applications. Specifically, the height level of the chassis is controlled using proportional integrated derivative, fuzzy logic, and deep learning control methods. Real-time data obtained from height and pressure sensors installed in a 6x2 truck chassis, in combination with pulse-width modulation signal values, are utilized during the tests. A prototype pneumatic system of a 6x2 truck is added to the setup, which enables the Smart Pneumatic Actuators to function as if they were in a real-world setting. To obtain real-time signal data from height sensors, an Arduino Nano is utilized, while a Raspberry Pi processes the data using Matlab/Simulink and provides the correct output signals to control the Smart Pneumatic Actuator in the truck chassis. The objective of this research is to optimize the time it takes for the chassis to level down and up under various loads. To achieve this, proportional integrated derivative control, fuzzy logic control, and deep learning techniques are applied to the system. The results show that the deep learning method is superior in optimizing time for a non-linear system. Fuzzy logic control with a triangular membership function as the rule base achieves better outcomes than proportional integrated derivative control. Traditional proportional integrated derivative control improves the time it takes to level the chassis down and up compared to an uncontrolled system. The findings highlight the superiority of deep learning techniques in optimizing the time for a non-linear system, and the potential of fuzzy logic control. The proposed approach and the experimental results provide a valuable contribution to the field of control, automation, and systems engineering. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automotive" title="automotive">automotive</a>, <a href="https://publications.waset.org/abstracts/search?q=chassis%20level%20control" title=" chassis level control"> chassis level control</a>, <a href="https://publications.waset.org/abstracts/search?q=control%20systems" title=" control systems"> control systems</a>, <a href="https://publications.waset.org/abstracts/search?q=pneumatic%20system%20control" title=" pneumatic system control"> pneumatic system control</a> </p> <a href="https://publications.waset.org/abstracts/164728/chassis-level-control-using-proportional-integrated-derivative-control-fuzzy-logic-and-deep-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164728.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">81</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">12031</span> Fuzzy Logic and Control Strategies on a Sump</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nasser%20Mohamed%20Ramli">Nasser Mohamed Ramli</a>, <a href="https://publications.waset.org/abstracts/search?q=Nurul%20Izzati%20Zulkifli"> Nurul Izzati Zulkifli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sump can be defined as a reservoir which contains slurry; a mixture of solid and liquid or water, in it. Sump system is an unsteady process owing to the level response. Sump level shall be monitored carefully by using a good controller to avoid overflow. The current conventional controllers would not be able to solve problems with large time delay and nonlinearities, Fuzzy Logic controller is tested to prove its ability in solving the listed problems of slurry sump. Therefore, in order to justify the effectiveness and reliability of these controllers, simulation of the sump system was created by using MATLAB and the results were compared. According to the result obtained, instead of Proportional-Integral (PI) and Proportional-Integral and Derivative (PID), Fuzzy Logic controller showed the best result by offering quick response of 0.32 s for step input and 5 s for pulse generator, by producing small Integral Absolute Error (IAE) values that are 0.66 and 0.36 respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy" title="fuzzy">fuzzy</a>, <a href="https://publications.waset.org/abstracts/search?q=sump" title=" sump"> sump</a>, <a href="https://publications.waset.org/abstracts/search?q=level" title=" level"> level</a>, <a href="https://publications.waset.org/abstracts/search?q=controller" title=" controller"> controller</a> </p> <a href="https://publications.waset.org/abstracts/75241/fuzzy-logic-and-control-strategies-on-a-sump" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75241.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">243</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">12030</span> Accurate and Repeatable Pressure Control for Critical Testing of Advanced Ceramics Using Proportional and Derivative Controller</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Benchalak%20Muangmeesri">Benchalak Muangmeesri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this paper is to discuss how to test the best control performance of a ceramics. Hydraulic press machine (HPM) is the most common shaping of advanced ceramic with products, dimensions, and ceramic products mainly from synthetic powders. A microcontroller can be achieved to control process and has set high standards in the shaping of raw materials in powder form. HPM was proposed to develop a position control system that linked to the embedded controller PIC16F877 via Proportional and Derivative (PD) controller. The model is performed using MATLAB/SIMULINK and the best control performance of an HPM. Finally, PD controller results, showing the best performance as it had the smallest overshoot and highest quality using a microcontroller control. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ceramics" title="ceramics">ceramics</a>, <a href="https://publications.waset.org/abstracts/search?q=hydraulic%20press" title=" hydraulic press"> hydraulic press</a>, <a href="https://publications.waset.org/abstracts/search?q=microcontroller" title=" microcontroller"> microcontroller</a>, <a href="https://publications.waset.org/abstracts/search?q=PD%20controller" title=" PD controller"> PD controller</a> </p> <a href="https://publications.waset.org/abstracts/90765/accurate-and-repeatable-pressure-control-for-critical-testing-of-advanced-ceramics-using-proportional-and-derivative-controller" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90765.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">356</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">12029</span> Optimization of Coefficients of Fractional Order Proportional-Integrator-Derivative Controller on Permanent Magnet Synchronous Motors Using Particle Swarm Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ali%20Motalebi%20Saraji">Ali Motalebi Saraji</a>, <a href="https://publications.waset.org/abstracts/search?q=Reza%20Zarei%20Lamuki"> Reza Zarei Lamuki</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Speed control and behavior improvement of permanent magnet synchronous motors (PMSM) that have reliable performance, low loss, and high power density, especially in industrial drives, are of great importance for researchers. Because of its importance in this paper, coefficients optimization of proportional-integrator-derivative fractional order controller is presented using Particle Swarm Optimization (PSO) algorithm in order to improve the behavior of PMSM in its speed control loop. This improvement is simulated in MATLAB software for the proposed optimized proportional-integrator-derivative fractional order controller with a Genetic algorithm and compared with a full order controller with a classic optimization method. Simulation results show the performance improvement of the proposed controller with respect to two other controllers in terms of rising time, overshoot, and settling time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=speed%20control%20loop%20of%20permanent%20magnet%20synchronous%20motor" title="speed control loop of permanent magnet synchronous motor">speed control loop of permanent magnet synchronous motor</a>, <a href="https://publications.waset.org/abstracts/search?q=fractional%20and%20full%20order%20proportional-integrator-derivative%20controller" title=" fractional and full order proportional-integrator-derivative controller"> fractional and full order proportional-integrator-derivative controller</a>, <a href="https://publications.waset.org/abstracts/search?q=coefficients%20optimization" title=" coefficients optimization"> coefficients optimization</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=improvement%20of%20behavior" title=" improvement of behavior"> improvement of behavior</a> </p> <a href="https://publications.waset.org/abstracts/129038/optimization-of-coefficients-of-fractional-order-proportional-integrator-derivative-controller-on-permanent-magnet-synchronous-motors-using-particle-swarm-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129038.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">12028</span> Ziegler Nichols Based Integral Proportional Controller for Superheated Steam Temperature Control System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amil%20Daraz">Amil Daraz</a>, <a href="https://publications.waset.org/abstracts/search?q=Suheel%20Abdullah%20Malik"> Suheel Abdullah Malik</a>, <a href="https://publications.waset.org/abstracts/search?q=Tahir%20Saleem"> Tahir Saleem</a>, <a href="https://publications.waset.org/abstracts/search?q=Sajid%20Ali%20Bhati"> Sajid Ali Bhati</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, Integral Proportional (I-P) controller is employed for superheated steam temperature control system. The Ziegler-Nichols (Z-N) method is used for the tuning of I-P controller. The performance analysis of Z-N based I-P controller is assessed on superheated steam system of 500-MW boiler. The comparison of transient response parameters such as rise time, settling time, and overshoot is made with Z-N based Proportional Integral (PI) controller. It is observed from the results that Z-N based I-P controller completely eliminates the overshoot in the output response. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=superheated%20steam" title="superheated steam">superheated steam</a>, <a href="https://publications.waset.org/abstracts/search?q=process%20reaction%20curve" title=" process reaction curve"> process reaction curve</a>, <a href="https://publications.waset.org/abstracts/search?q=PI%20and%20I-P%20controller" title=" PI and I-P controller"> PI and I-P controller</a>, <a href="https://publications.waset.org/abstracts/search?q=Ziegler-Nichols%20Tuning" title=" Ziegler-Nichols Tuning"> Ziegler-Nichols Tuning</a> </p> <a href="https://publications.waset.org/abstracts/71394/ziegler-nichols-based-integral-proportional-controller-for-superheated-steam-temperature-control-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71394.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">331</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">12027</span> Method for Tuning Level Control Loops Based on Internal Model Control and Closed Loop Step Test Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arnaud%20Nougues">Arnaud Nougues</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper describes a two-stage methodology derived from internal model control (IMC) for tuning a proportional-integral-derivative (PID) controller for levels or other integrating processes in an industrial environment. Focus is the ease of use and implementation speed which are critical for an industrial application. Tuning can be done with minimum effort and without the need for time-consuming open-loop step tests on the plant. The first stage of the method applies to levels only: the vessel residence time is calculated from equipment dimensions and used to derive a set of preliminary proportional-integral (PI) settings with IMC. The second stage, re-tuning in closed-loop, applies to levels as well as other integrating processes: a tuning correction mechanism has been developed based on a series of closed-loop simulations with model errors. The tuning correction is done from a simple closed-loop step test and the application of a generic correlation between observed overshoot and integral time correction. A spin-off of the method is that an estimate of the vessel residence time (levels) or open-loop process gain (other integrating process) is obtained from the closed-loop data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=closed-loop%20model%20identification" title="closed-loop model identification">closed-loop model identification</a>, <a href="https://publications.waset.org/abstracts/search?q=IMC-PID%20tuning%20method" title=" IMC-PID tuning method"> IMC-PID tuning method</a>, <a href="https://publications.waset.org/abstracts/search?q=integrating%20process%20control" title=" integrating process control"> integrating process control</a>, <a href="https://publications.waset.org/abstracts/search?q=on-line%20PID%20tuning%20adaptation" title=" on-line PID tuning adaptation"> on-line PID tuning adaptation</a> </p> <a href="https://publications.waset.org/abstracts/133791/method-for-tuning-level-control-loops-based-on-internal-model-control-and-closed-loop-step-test-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133791.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">221</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">12026</span> Coding Structures for Seated Row Simulation of an Active Controlled Vibration Isolation and Stabilization System for Astronaut鈥檚 Exercise Platform</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ziraguen%20O.%20Williams">Ziraguen O. Williams</a>, <a href="https://publications.waset.org/abstracts/search?q=Shield%20B.%20Lin"> Shield B. Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Fouad%20N.%20Matari"> Fouad N. Matari</a>, <a href="https://publications.waset.org/abstracts/search?q=Leslie%20J.%20Quiocho"> Leslie J. Quiocho</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Simulation for seated row exercise was a continued task to assist NASA in analyzing a one-dimensional vibration isolation and stabilization system for astronaut鈥檚 exercise platform. Feedback delay and signal noise were added to the model as previously done in simulation for squat exercise. Simulation runs for this study were conducted in two software simulation tools, Trick and MBDyn, software simulation environments developed at the NASA Johnson Space Center. The exciter force in the simulation was calculated from the motion capture of an exerciser during a seated row exercise. The simulation runs include passive control, active control using a Proportional, Integral, Derivative (PID) controller, and active control using a Piecewise Linear Integral Derivative (PWLID) controller. Output parameters include displacements of the exercise platform, the exerciser, and the counterweight; transmitted force to the wall of spacecraft; and actuator force to the platform. The simulation results showed excellent force reduction in the actively controlled system compared to the passive controlled system, which showed less force reduction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=control" title="control">control</a>, <a href="https://publications.waset.org/abstracts/search?q=counterweight" title=" counterweight"> counterweight</a>, <a href="https://publications.waset.org/abstracts/search?q=isolation" title=" isolation"> isolation</a>, <a href="https://publications.waset.org/abstracts/search?q=vibration." title=" vibration."> vibration.</a> </p> <a href="https://publications.waset.org/abstracts/154195/coding-structures-for-seated-row-simulation-of-an-active-controlled-vibration-isolation-and-stabilization-system-for-astronauts-exercise-platform" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154195.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">140</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">12025</span> Quadrotor in Horizontal Motion Control and Maneuverability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ali%20Oveysi%20Sarabi">Ali Oveysi Sarabi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, controller design for the attitude and altitude dynamics of an outdoor quadrotor, which is constructed with low cost actuators and drivers, is aimed. Before designing the controller, the quadrotor is modeled mathematically in Matlab-Simulink environment. To control attitude dynamics, linear quadratic regulator (LQR) based controllers are designed, simulated and applied to the system. Two different proportional-integral-derivative action (PID) controllers are designed to control yaw and altitude dynamics. During the implementation of the designed controllers, different test setups are used. Designed controllers are implemented and tuned on the real system using xPC Target. Tests show that these basic control structures are successful to control the attitude and altitude dynamics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=helicopter%20balance" title="helicopter balance">helicopter balance</a>, <a href="https://publications.waset.org/abstracts/search?q=flight%20dynamics" title=" flight dynamics"> flight dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=autonomous%20landing" title=" autonomous landing"> autonomous landing</a>, <a href="https://publications.waset.org/abstracts/search?q=control%20robotics" title=" control robotics"> control robotics</a> </p> <a href="https://publications.waset.org/abstracts/19100/quadrotor-in-horizontal-motion-control-and-maneuverability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19100.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">509</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">12024</span> Optimal Injected Current Control for Shunt Active Power Filter Using Artificial Intelligence</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Brahim%20Berbaoui">Brahim Berbaoui</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a new particle swarm optimization (PSO) based method is proposed for the implantation of optimal harmonic power flow in power systems. In this algorithm approach, proportional integral controller for reference compensating currents of active power filter is performed in order to minimize the total harmonic distortion (THD). The simulation results show that the new control method using PSO approach is not only easy to be implanted, but also very effective in reducing the unwanted harmonics and compensating reactive power. The studies carried out have been accomplished using the MATLAB Simulink Power System Toolbox. <p class="card-text"><strong>Keywords:</strong> <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=power%20quality" title=" power quality"> power quality</a>, <a href="https://publications.waset.org/abstracts/search?q=current%20control" title=" current control"> current control</a>, <a href="https://publications.waset.org/abstracts/search?q=proportional%20integral%20controller" title=" proportional integral controller"> proportional integral controller</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20swarm%20optimization" title=" particle swarm optimization "> particle swarm optimization </a> </p> <a href="https://publications.waset.org/abstracts/19698/optimal-injected-current-control-for-shunt-active-power-filter-using-artificial-intelligence" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19698.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">615</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">12023</span> Fractional-Order PI Controller Tuning Rules for Cascade Control System </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <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>, <a href="https://publications.waset.org/abstracts/search?q=Le%20Linh"> Le Linh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The fractional–order proportional integral (FOPI) controller tuning rules based on the fractional calculus for the cascade control system are systematically proposed in this paper. Accordingly, the ideal controller is obtained by using internal model control (IMC) approach for both the inner and outer loops, which gives the desired closed-loop responses. On the basis of the fractional calculus, the analytical tuning rules of FOPI controller for the inner loop can be established in the frequency domain. Besides, the outer loop is tuned by using any integer PI/PID controller tuning rules in the literature. The simulation study is considered for the stable process model and the results demonstrate the simplicity, flexibility, and effectiveness of the proposed method for the cascade control system in compared with the other methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bode%E2%80%99s%20ideal%20transfer%20function" title="Bode鈥檚 ideal transfer function">Bode鈥檚 ideal transfer function</a>, <a href="https://publications.waset.org/abstracts/search?q=fractional%20calculus" title=" fractional calculus"> fractional calculus</a>, <a href="https://publications.waset.org/abstracts/search?q=fractional%E2%80%93order%20proportional%20integral%20%28FOPI%29%20controller" title=" fractional鈥搊rder proportional integral (FOPI) controller"> fractional鈥搊rder proportional integral (FOPI) controller</a>, <a href="https://publications.waset.org/abstracts/search?q=cascade%20control%20system" title=" cascade control system"> cascade control system</a> </p> <a href="https://publications.waset.org/abstracts/48740/fractional-order-pi-controller-tuning-rules-for-cascade-control-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48740.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">377</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">12022</span> Modelling for Temperature Non-Isothermal Continuous Stirred Tank Reactor Using Fuzzy Logic </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nasser%20Mohamed%20Ramli">Nasser Mohamed Ramli</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamad%20Syafiq%20Mohamad"> Mohamad Syafiq Mohamad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Many types of controllers were applied on the continuous stirred tank reactor (CSTR) unit to control the temperature. In this research paper, Proportional-Integral-Derivative (PID) controller are compared with Fuzzy Logic controller for temperature control of CSTR. The control system for temperature non-isothermal of a CSTR will produce a stable response curve to its set point temperature. A mathematical model of a CSTR using the most general operating condition was developed through a set of differential equations into S-function using MATLAB. The reactor model and S-function are developed using m.file. After developing the S-function of CSTR model, User-Defined functions are used to link to SIMULINK file. Results that are obtained from simulation and temperature control were better when using Fuzzy logic control compared to PID control. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CSTR" title="CSTR">CSTR</a>, <a href="https://publications.waset.org/abstracts/search?q=temperature" title=" temperature"> temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=PID" title=" PID"> PID</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a> </p> <a href="https://publications.waset.org/abstracts/56171/modelling-for-temperature-non-isothermal-continuous-stirred-tank-reactor-using-fuzzy-logic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56171.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">12021</span> Mobile Robot Manipulator Kinematics Motion Control Analysis with MATLAB/Simulink</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wayan%20Widhiada">Wayan Widhiada</a>, <a href="https://publications.waset.org/abstracts/search?q=Cok%20Indra%20Partha"> Cok Indra Partha</a>, <a href="https://publications.waset.org/abstracts/search?q=Gusti%20Ngurah%20Nitya%20Santhiarsa"> Gusti Ngurah Nitya Santhiarsa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this paper is to investigate the sophistication of the use of Proportional Integral and Derivative Control to control the kinematic motion of the mobile robot manipulator. Simulation and experimental methods will be used to investigate the sophistication of PID control to control the mobile robot arm in the collection and placement of several kinds of objects quickly, accurately and correctly. Mathematical modeling will be done by utilizing the integration of Solidworks and MATLAB / Simmechanics software. This method works by converting the physical model file into the xml file. This method is easy, fast and accurate done in modeling and design robotics. The automatic control design of this robot manipulator will be validated in simulations and experimental in control labs as evidence that the mobile robot manipulator gripper control design can achieve the best performance such as the error signal is lower than 5%, small overshoot and get steady signal response as quickly. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=control%20analysis" title="control analysis">control analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=kinematics%20motion" title=" kinematics motion"> kinematics motion</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20robot%20manipulator" title=" mobile robot manipulator"> mobile robot manipulator</a>, <a href="https://publications.waset.org/abstracts/search?q=performance" title=" performance"> performance</a> </p> <a href="https://publications.waset.org/abstracts/80909/mobile-robot-manipulator-kinematics-motion-control-analysis-with-matlabsimulink" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80909.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">409</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">12020</span> Improvement of the Robust Proportional鈥揑ntegral鈥揇erivative (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鈥檚 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">12019</span> Control of a Stewart Platform for Minimizing Impact Energy in Simulating Spacecraft Docking Operations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Leonardo%20Herrera">Leonardo Herrera</a>, <a href="https://publications.waset.org/abstracts/search?q=Shield%20B.%20Lin"> Shield B. Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Stephen%20J.%20Montgomery-Smith"> Stephen J. Montgomery-Smith</a>, <a href="https://publications.waset.org/abstracts/search?q=Ziraguen%20O.%20Williams"> Ziraguen O. Williams</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Three control algorithms: Proportional-Integral-Derivative, Linear-Quadratic-Gaussian, and Linear-Quadratic-Gaussian with the shift, were applied to the computer simulation of a one-directional dynamic model of a Stewart Platform. The goal was to compare the dynamic system responses under the three control algorithms and to minimize the impact energy when simulating spacecraft docking operations. Equations were derived for the control algorithms and the input and output of the feedback control system. Using MATLAB, Simulink diagrams were created to represent the three control schemes. A switch selector was used for the convenience of changing among different controllers. The simulation demonstrated the controller using the algorithm of Linear-Quadratic-Gaussian with the shift resulting in the lowest impact energy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=controller" title="controller">controller</a>, <a href="https://publications.waset.org/abstracts/search?q=Stewart%20platform" title=" Stewart platform"> Stewart platform</a>, <a href="https://publications.waset.org/abstracts/search?q=docking%20operation" title=" docking operation"> docking operation</a>, <a href="https://publications.waset.org/abstracts/search?q=spacecraft" title=" spacecraft"> spacecraft</a> </p> <a href="https://publications.waset.org/abstracts/185802/control-of-a-stewart-platform-for-minimizing-impact-energy-in-simulating-spacecraft-docking-operations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185802.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">51</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">12018</span> Simulation of an Active Controlled Vibration Isolation System for Astronaut鈥檚 Exercise Platform </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shield%20B.%20Lin">Shield B. Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Sameer%20Abdali"> Sameer Abdali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Computer simulations were performed using MATLAB/Simulink for a vibration isolation system for astronaut’s exercise platform. Simulation parameters initially were based on an on-going experiment in a laboratory at NASA Johnson Space Center. The authors expanded later simulations to include other parameters. A discrete proportional-integral-derivative controller with a low-pass filter commanding a linear actuator served as the active control unit to push and pull a counterweight in balancing the disturbance forces. A spring-damper device is used as an optional passive control unit. Simulation results indicated such design could achieve near complete vibration isolation with small displacements of the exercise platform. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=control" title="control">control</a>, <a href="https://publications.waset.org/abstracts/search?q=counterweight" title=" counterweight"> counterweight</a>, <a href="https://publications.waset.org/abstracts/search?q=isolation" title=" isolation"> isolation</a>, <a href="https://publications.waset.org/abstracts/search?q=vibration" title=" vibration"> vibration</a> </p> <a href="https://publications.waset.org/abstracts/127938/simulation-of-an-active-controlled-vibration-isolation-system-for-astronauts-exercise-platform" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/127938.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">149</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">12017</span> Improving Load Frequency Control of Multi-Area Power System by Considering Uncertainty by Using Optimized Type 2 Fuzzy Pid Controller with the Harmony Search Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehrdad%20Mahmudizad">Mehrdad Mahmudizad</a>, <a href="https://publications.waset.org/abstracts/search?q=Roya%20Ahmadi%20Ahangar"> Roya Ahmadi Ahangar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents the method of designing the type 2 fuzzy PID controllers in order to solve the problem of Load Frequency Control (LFC). The Harmony Search (HS) algorithm is used to regulate the measurement factors and the effect of uncertainty of membership functions of Interval Type 2 Fuzzy Proportional Integral Differential (IT2FPID) controllers in order to reduce the frequency deviation resulted from the load oscillations. The simulation results implicitly show that the performance of the proposed IT2FPID LFC in terms of error, settling time and resistance against different load oscillations is more appropriate and preferred than PID and Type 1 Fuzzy Proportional Integral Differential (T1FPID) controllers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=load%20frequency%20control" title="load frequency control">load frequency control</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy-pid%20controller" title=" fuzzy-pid controller"> fuzzy-pid controller</a>, <a href="https://publications.waset.org/abstracts/search?q=type%202%20fuzzy%20system" title=" type 2 fuzzy system"> type 2 fuzzy system</a>, <a href="https://publications.waset.org/abstracts/search?q=harmony%20search%20algorithm" title=" harmony search algorithm"> harmony search algorithm</a> </p> <a href="https://publications.waset.org/abstracts/52340/improving-load-frequency-control-of-multi-area-power-system-by-considering-uncertainty-by-using-optimized-type-2-fuzzy-pid-controller-with-the-harmony-search-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52340.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">278</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=proportional%20integral%20derivative%20control&page=2">2</a></li> <li class="page-item"><a class="page-link" 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