Model Predictive Computer Control for the Hybrid Levitation System of a Maglev Train

Abstract

Compared with the pure electromagnetic suspension system, the hybrid suspension system has the characteristics of lower energy consumption, can indirectly increase the safety of the system, and reduce the construction difficulty and engineering cost. In this paper, an electromagnetic-permanent-magnet hybrid levitation model of a maglev train is a control object, and a constrained model predictive computer controller is utilized for the levitation control. The simulation results show that the constrained predictive controller can satisfy the multiple constraints, and real-time and anti-disturbance requirements in the suspension process for this kind of hybrid suspension system.