Cooperative Model Predictive Levitation Control for Two-Points Electromagnetic Levitation System of High-Speed Maglev Vehicle
Yougang Sun, Zhenyu He, Junqi Xu, Fengxing Li, Dandan Zhang
Abstract
At present, the levitation control methods of maglev vehicles are mostly based on the single-point levitation model, ignoring the influence of coupling interference between multiple levitation points in the actual operation of maglev vehicle, which may reduce system stability. Moreover, existing levitation control methods may be limited by the constraints of levitation system, such as coil voltage bounded constraints and levitation gap bounded constraints. In view of these problems, this paper establishes a two-points levitation system model of high-speed maglev vehicle. Aiming at the problem of levitation system constraints, a levitation predictive controller based on model predictive control method is designed. By introducing the cost function of collaborative error, a cooperative levitation control method is proposed to optimize the cooperative performance of the two-points levitation system, and its stability is analyzed by utilizing Lyapunov method. The numerical simulation results show that the proposed cooperative control method not only can better achieve the collaboration of the front and rear levitation points while ensuring that the constraint conditions are strictly meet, but also reduce the dependence of suspension damping. Finally, the correctness and effectiveness of the proposed control scheme is verified through hardware experiments.