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Model predictive control of a magnetic levitation system using two-level state feedback
Measurement and Control ( IF 2 ) Pub Date : 2020-04-13 , DOI: 10.1177/0020294019900333
Zhenlin Zhang 1, 2 , Yonghua Zhou 1 , Xin Tao 1
Affiliation  

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.

中文翻译:

使用两级状态反馈的磁悬浮系统模型预测控制

磁悬浮系统是保证磁悬浮列车安全可靠运行的关键部件。本文提出了基于两级状态反馈的模型预测控制的磁悬浮系统控制策略。利用高分辨率传感器测量的可测量状态变量,即气隙、电磁加速度和控制电流,第一级非线性状态反馈是将不稳定的非线性磁悬浮系统线性化,第二级线性状态反馈是为了进一步稳定系统并提高动态性能,共同提供稳定的预测模型。
更新日期:2020-04-13
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