Induction machine speed control using fuzzy adaptive controller

This paper investigates fuzzy adaptive control of induction machine (IM) speed. The proposed controller consists of two parts: the first is classical fuzzy logic controller (FLC) constituted by fuzzy If-Then rules. The second part is adaptation mechanism, which adjusts the fuzzy controller parameters in order to minimize the error between the reference speed and the machine speed. The fuzzy adaptive controller (FAC) can be started without prior information on the machine, and can learn and tune rapidly the fuzzy controller rules to meet the desired performance, even when the machine parameters change. Simulation studies for various operating conditions show the superior performance of the FAC compared to PI controller.