High performance induction motor drive using fuzzy self-tuning hybrid fuzzy controller

A fuzzy self-tuning hybrid fuzzy controller for indirect field oriented control (IFOC) induction motor drives will be presented in this paper. The developed hybrid fuzzy control law consists of proportional-integral (PI) control at steady state, PI-type fuzzy logic control (FLC) at transient state, a simple switching mechanism between steady and transient states, and fuzzy self-tuning for tuning of their coefficients to have high performance and robustness drive under steady and transient conditions. The importance of the presented hybrid fuzzy controller will be highlighted by comparing the performance of fuzzy self-tuning hybrid fuzzy controller with PI controller, for IFOC induction motor drives. It will be displayed that the presented induction motor drive has both less steady state error and better behavior in transient state; moreover, it is robust to load disturbance, the inertia variation, and robust to rotor resistance variation. Simulation results will be presented confirming the above-mentioned claims.