Simulation Analysis for High-Speed Maglev Single Electromagnet Levitation System Based on Model Predictive Control

Objective Existing high-speed maglev levitation controllers mostly adopt PID（proportional-integral-derivative） controllers. However, due to the strong nonlinearity and open-loop instability of the maglev system, traditional PID control is hard to meet performance requirements. To improve the control performance, a simulation study of the high-speed maglev single electromagnet levitation system based on MPC（model predictive control） is specially carried out. Method Based on the feedback linearization stabilization method, a linearized stabilization model for the normal-conducting high-speed maglev single electromagnet is established, and an state feedback stabilization controller（hereinafter referred to as "FK"） is designed. On this basis, an MPC controller for the high-speed maglev single electromagnet is developed. Through the Matlab/Simulink software simulation platform, the MPC controller parameters are optimized, and the performance indicators of FK, PID and MPC three controllers, such as the stability under multi-parameter responses and 2 kN step disturbances, the response speed and robustness are compared and analyzed. Result ＆ Conclusion The MPC controller shows a stabilization time that is only 1/10 of that of PID and FK controllers. Meanwhile, it shows significant advantages in terms of overhang, robustness and anti-interference ability.