Research on Vibration Control Regarding Mechanical Coupling for Maglev Trains with Experimental Verification

Author:

Liang Shi1ORCID,Dai Chunhui1ORCID,Long Zhiqiang1ORCID

Affiliation:

1. College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China

Abstract

The electromagnet module, as a fundamental component providing levitation force for maglev trains, plays a crucial role in ensuring the stability of train operation. However, vibrations can easily occur due to the mechanical coupling between the two suspension points of the electromagnet module. To reveal the inherent instability of the system and the coupling relationship between the state variables, a state-space equation that considers the mechanical coupling between the two suspension points is established. Furthermore, a differential control algorithm based on geometric feature transformation is proposed to mitigate the structural coupling vibration. Simulation experiments are conducted to compare the dynamic characteristics of the system before and after implementing the improvement algorithm under complex conditions. At the same time, the influence of control parameters on electromagnetic vibration was analyzed, focusing particularly on vibrations resulting from parameter mismatch, offering crucial insights for enhancing system stability. Additionally, suspension tests are carried out on the high-speed double bogie test platform in the Key Laboratory of Hunan Province to further validate the effectiveness of the proposed algorithm. The proposed control framework is both effective and concise, making it easy to implement in engineering applications. This research holds significant practical value in improving the stability of maglev trains.

Funder

the National Natural Science Foundation of China

Publisher

MDPI AG

Reference22 articles.

1. Wu, X.M. (2003). Maglev Train, Shanghai Scientific & Technical Publishers.

2. Long, Z.Q., Zhai, M.D., and Wang, Z.Q. (2023). Condition Monitoring, Fault Diagnosis, and Fault-Tolerant Control of the Maglev Trains, Shanghai Scientific & Technical Publishers.

3. Long, Z.Q., Li, X.L., and Chen, H. (2023). Research on Permanent-Electromagnetic Levitation Technology and Application, Shanghai Scientific & Technical Publishers.

4. Research on vehicle-track coupling vibration control based on feedforward compensation and full-state feedback control;Liang;J. Tongji Univ. (Nat. Sci.),2023

5. Modeling and numerical analysis of magnetic-force coupling system of maglev train based on vector FEM;Sun;J. Tongji Univ. (Nat. Sci.),2021

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