Research On Magnetic Suspension Control System

In this paper, a four-point attraction magnetic suspension system is designed and analyzed, the principle of each part of the magnetic suspension system is described in detail. The mathematic model of magnetic system is set up. By linearizing the mathematic model in the equilibrium point, the author gets the state function and transfer function of the system. On the basis of the mathematic model, the controllability and observeability are analyzed, several kinds of controller including linear states feedback controller, PID controller, linear quadratic optimal controller, neural network PID controller are designed for the system. Some method and design steps of the controller are given. Simulations are made to the controllers, features and performance of each controller are gotten. Feasibility of each controller is analyzed. On the basis of experiment, the author proposes that to apply the neural network PID controller to the magnetic suspension system, thus put forward a method to rectify the PID parameters of the magnetic suspension system. At last, the application method and the control algorithm of the PID controller and neural network controller are given.