Model predictive control of a magnetic levitation system using two-level state feedback

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 meas...

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Bibliographic Details
Published in:Measurement and control (London) 2020-05, Vol.53 (5-6), p.962-970
Main Authors: Zhang, Zhenlin, Zhou, Yonghua, Tao, Xin
Format: Article
Language:English
Subjects:
Air gaps
Computer simulation
Control systems
Magnetic levitation
Magnetic levitation systems
Prediction models
Predictive control
State feedback
State variable
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Summary: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.
ISSN:0020-2940
2051-8730
DOI:10.1177/0020294019900333