Study of Fuzzy Logic Based Adaptive Position Control Used for AC Servo System

The goal of this work is to present a novel control method, which can adjust the position controller´s parameters automatically, and output optimized control signals. For employing fuzzy logic and adaptive learning algorithm, this method doesn´t need the object´s model in working. The designs of fuzzy controller and adaptive law were discussed in detail, furthermore simulation analysis had been carried by Matlab. The results indicate that the method has a good control effect on both regulating and set-point following, and that is a robust and accurate solution for position-control servo systems with uncertain models