Study On Several Intelligent Control Methods In AC Variable Speed System

In recent years, with the rapid development of the LSI circuit and the application in the actual program, the excellent characteristics of the AC drive system should be further excavated, and the status of traditional DC drive system gradually is replaced. Because AC variable speed system is a multi-variable system with strong coupling, highly nonlinearity, bad robustness and time-varying complex environment, how to build an accurate model is a worldwide problem. PID control is always used in AC variable speed system, but the accuracy of the motor system’s simulation result is low and can’t ensure the controlling demand of the system. This article attempts to deeply study and analyze the AC variable speed system controller in multiple ways to seek more appropriate and precise control methods.In this paper, by the research of vector transformation and related content, the mathematical model of AC variable speed system is built. A variety of intelligent control methods, including neural network control, fuzzy control, sliding mode variable structure control, fuzzy common model control etc, optimize and improve the AC variable speed system controller; After the establishment of similar mathematical model, by the use of the characteristics of easily tuning parameter and its clear physical meaning in fuzzy common model, the paper calculates the optimal control law to track the for the system’s response performance; By way of adjusting parameter in several ways, the dynamic property and static property get advanced and the tracking performance is outstanding. At same time, the system gets higher robustness and anti-interference. Above-mentioned methods are all achieved by Simulink simulation platform in this paper, and the simulation results prove that these methods make the system to be more stable and faster. Meanwhile, they are feasible and applicative.