Affiliation:
1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
2. Taiyuan Satellite Launch Center, Taiyuan, China
Abstract
The magnetic levitation system is a critical part to guarantee safe and reliable operations of a maglev train. In this paper, the control strategy is proposed for the magnetic levitation system based on the model predictive control incorporating two-level state feedback. Taking advantage of the measurable state variables, that is, air gap, electromagnet acceleration, and control current through high-resolution sensor measurement, the first-level nonlinear state feedback is to linearize the unstable nonlinear magnetic levitation system, and the second-level linear state feedback is to further stabilize the system and improve the dynamic performances, which together provide a stable prediction model. The simulation results demonstrate that the proposed control strategy can ensure high-precision air gap control and favorable disturbance resistance ability.
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities of China
Subject
Applied Mathematics,Control and Optimization,Instrumentation
Cited by
9 articles.
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