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