Adaptive-SMO-Based Traction Force Fluctuation Suppression Strategy Considering Suspension System for High-Speed Maglev Train

Author:

Zhu Jinquan1ORCID,Cao Xueqian1ORCID,Ge Qiongxuan1ORCID,Zeng Dihui1ORCID

Affiliation:

1. Key Laboratory of Power Electronics and Electric Drive, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, China

Funder

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimization of Long-Stator Synchronous Linear Motors for High-Speed Maglev Trains;2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia);2024-05-17

2. Radial Basis Function Neural Network Optimization of Weighting Factors for Model Predictive Control of LSLSM;2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia);2024-05-17

3. An Improved Power Supply Switching Method of Segmented Long Primary Linear Motors for High-Speed Applications;2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia);2024-05-17

4. Adaptive Gain Sliding Mode Observer for Sensorless Control of Brushless DC Motors;2024 IEEE 7th International Electrical and Energy Conference (CIEEC);2024-05-10

5. High-performance Sensorless Control Strategy of High-speed Maglev Based on Nonlinear Extended State Observer and Improved Phase Lock Loop;2023 14th International Symposium on Linear Drivers for Industry Applications (LDIA);2023-06-28

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