Study on Fuzzy Control Algorithm for Magnetic Levitated Platform

Magnetic Levitated Platform (MLP) which has no mechanical contact, no need of lubrication and other characteristics can solve the difficulties of traditional platform such as easy wear, hard machining environment and so on. Because it is a typical high order, nonlinear, strong coupling, multivariable time-varying system, the accurate mathematical model is difficult to establish. The traditional PID control can not adapt to the complex conditions of MLP. It is difficult to meet the needs of control precision and real-time position variation, and easy to bring about overshoot or oscillation phenomenon. Therefore, this paper takes the MLP system as the control object, adopt fuzzy control algorithm to overcome the above difficulties. The research is carried out by the combination of simulation using MATLAB fuzzy logic toolbox and experimental debug. The results show that this method can greatly improve the control precision and stability of the MLP, the performance is better than the optimal PID controller. It can effectively meet the MLP working demand, and has good robustness.