Induction Motor Speed Control Based on Fuzzy Model Identification and Model Reference

This paper presents an algorithm of induction motor speed controlled, for nonlinear dynamic process of the motor speed, using fuzzy linear fitting method through the local subsets are connected to construct integrated system model. Based on the difference between the reference vector and the speed vector of the induction motor under fuzzy model identified, a variable structure control to modulate the motor speed is achieved, presented controller has robustness to the external disturbance and the system uncertainty, and the output speed of the motor can fast track the command speed. Simulation results show that the control plan is excellent.