Tracking control of induction motor using fuzzy phase plane controller with improved genetic algorithm

Fuzzy membership functions, phase plane theory and the proposed IGA are employed to design the proposed controller (FPPC) for the optimal position/speed tracking control of an induction motor. The proposed FPPC has the merits of rapid response, simple designed fuzzy logic control and an explicitly designed phase plane theory. Simulated and experimental results reveal that the proposed FPPC is superior in the optimal position/speed tracking control to conventional PI controllers.