Adaptive Fuzzy Control System for a Squirrel Cage Induction Motor

Abstract

A fuzzy adaptive method is designed and implemented in order to improve the response of a scalar fuzzy control system for the speed of an induction motor. The adaptive method determines the set of output membership functions used in the difuzzification process of a typical fuzzy rule based control system. The universe, domain and distribution of the controller's output membership functions are defined at the beginning of every control cycle, thus having a dynamic generation of the set of output membership functions. In this paper, this method is applied to an induction motor in order to control its speed. The experimental results are compared to those obtained with a non-adaptive fuzzy controller, showing an improvement in torque, stator currents and voltages as well as some dynamic parameters such as steady state ripple.