Design And Analysis Of Speed Control Using Hybrid Pid Fuzzy Controller For Induction Motors

This thesis presents a hybrid PIDfuzzy control system for the speed control of a three phase squirrel cage induction motor. The proposed method incorporates fuzzy logic and conventional controllers with utilization of vector control technique. This method combines the advantages of fuzzy logic controller and conventional controllers to improve the speed response of the induction motor. The design of fuzzy system consists of 9 fuzzy variables and 49 IF THEN rules that define the behavior of the system. The FLC observes the loop error signal and correspondingly control the PID input error signal so that the actual speed signal matches the reference speed signal with reduced rise time, settling time, and peak over shoot. Implementation and simulation results using MATLAB SIMULINK of various hybrid system controllers are compared along with conventional PI controller in terms of several performance measurements such as rise time, maximum percent overshoot, settling time, and steady state error at various load conditions. The results verified the effectiveness of the proposed hybrid speed controller under different operating conditions and demonstrated improvements in performance in speed tracking and system's stability.