Traction-System Research of High-Speed Maglev Train Based on Integral Sliding Mode Control
Cao Xueqian1,2, Ge Qiongxuan1, Zhu Jinquan1,2, Sun Pengkun1,2, Wang Xiaoxin1
1. Key Laboratory of Power Electronics and Electric Drive Institute of Electrical Engineering Chinese Academy of Sciences Beijing 100190 China; 2. University of Chinese Academy of Sciences Beijing 100049 China
Abstract:When the long-stator linear synchronous motor for high-speed maglev train works in the double feed mode, it is a multi-variable, nonlinear, and strongly coupled system. The traditional linear control method is more sensitive to parameter perturbation, so this paper analyzes the influence of parameter perturbation on current loop control performance and proposes a current control strategy based on integral sliding mode. This strategy introduces the integral term of the state variables into the sliding mode surface, avoids the interference of high-frequency noise, and improves the exponential reaching law to weaken chattering, so that the current dynamic following performance and parameter perturbation resistance are improved. Hardware-in-the-loop (HIL) experiments verify that compared with the traditional linear control strategy, this strategy can improve the current following performance of the maglev train in the step change process of the stator section and has strong robustness to the perturbation of motor parameters.
曹学谦, 葛琼璇, 朱进权, 孙鹏琨, 王晓新. 基于积分滑模的高速磁悬浮列车牵引控制策略[J]. 电工技术学报, 2022, 37(14): 3598-3607.
Cao Xueqian, Ge Qiongxuan, Zhu Jinquan, Sun Pengkun, Wang Xiaoxin. Traction-System Research of High-Speed Maglev Train Based on Integral Sliding Mode Control. Transactions of China Electrotechnical Society, 2022, 37(14): 3598-3607.
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