Optimization Of Fuzzy Logic Based For Vector Control Induction Motor Drives

Recently, fuzzy logic controllers have been recognized in induction motor drives systems for their robust performance. Therefore, this paper presents a fuzzy logic (FL) control system based on FL approach for a vector controlled induction motor drives for high performance application. The analysis, design and simulation of the FL controller for vector control induction motor are carried out based on scaling factor and membership functions theory. First, the drives system was simulated with Standard Constant Parameter FL, Design Case Constant Parameter Fuzzy Logic and PI controller. Then the best performances of these controllers were compared to proposed optimized fuzzy logic controller (OFL). The OFL is done by tuning of scaling factor for the change in speed error, Gce to produce a better transient behaviour, and altering the width and moving the peak value positions of membership functions to improve control performance. The results show that the proposed OFL gives better performances in tracking performances and also load disturbances. The test is done in different operating conditions for half rated speed and full rated speed, half and full load condition. The results demonstrates the robustness and the effectiveness of OFL controller for high performance of induction motor drive system