TY - JFULL AU - Ismail Saritas and Abdullah Adiyaman PY - 2013/9/ TI - Controlling of Load Elevators by the Fuzzy Logic Method T2 - International Journal of Electrical and Computer Engineering SP - 1078 EP - 1082 VL - 7 SN - 1307-6892 UR - https://publications.waset.org/pdf/16211 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 80, 2013 N2 - In this study, a fuzzy-logic based control system was designed to ensure that time and energy is saved during the operation of load elevators which are used during the construction of tall buildings. In the control system that was devised, for the load elevators to work more efficiently, the energy interval where the motor worked was taken as the output variable whereas the amount of load and the building height were taken as input variables. The most appropriate working intervals depending on the characteristics of these variables were defined by the help of an expert. Fuzzy expert system software was formed using Delphi programming language. In this design, mamdani max-min inference mechanism was used and the centroid method was employed in the clarification procedure. In conclusion, it is observed that the system that was designed is feasible and this is supported by statistical analyses.. ER -