Dynamic fuzzy control method and its application to positioning of induction motor

Abstract

A fuzzy control method incorporating a time series concept is presented and applied to the positioning of an induction motor with genetic algorithm (GA) tuning. The method is consisted of a fuzzy inference management part and several fuzzy inference groups for various situations based on virtual paging method of fuzzy inference.<>