Maglev System Quantitative Feedback Control Method

Using magnetic force to make up an object suspended without contact is an ancient dream of humanity. In recent years, because of the features of non-contact, low mechanical loss, long life and no lubricants, magnetic levitation technology has got more and more attention, and been widely used in magnetic levitation trains, magnetic levitation bearing axis and so on. But, due to the uncertainty of the magnetic levitation system model, its control has been a major problem in the control field.In this paper, according to the inherent nonlinear and the object uncertainty of magnetic levitation system, a magnetic suspension control system is designed using quantitative feedback theory because of its advantages of dealing with uncertain objects. Firstly, the model of the suspension system is analyzed and the key system parameters are identified. Then, the mathematical system model is got based on compensations of the system sensors, actors and gravity. Secondly, according to the actual situation of ECP Model 730 magnetic levitation system, the scope of its parameter uncertainty is given and a system controller and prefilter is designed according to the design target using quantitative feedback theory. Then, a simulation is done in the Matlab Simulink simulation environment and the result shows the effectiveness of the control system design. Finally, On the Model 730 magnetic suspension system, the actual control procedures are prepared and the actual commissioning is done. And the good control effect is got.