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Multi-objective optimization of high-speed train suspension parameters for improving hunting stability

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  • Xiangwang Chen
  • Yuan Yao
  • Longjiang Shen
  • Xiaoxia Zhang

Abstract

Excellent hunting stability is required for the operation of high-speed trains. The suspension parameter design needs to avoid primary and secondary hunting instability for the low and high wheel–rail contact conicity, respectively, as well as to enhance the robustness of hunting stability in face of the variations in wheel–rail contact parameters. In this paper, the indices of low equivalent conicity stability, high conicity stability, and equivalent conicity robustness are defined and chosen as the optimization objectives for the optimal design of key suspension parameters. The multi-objective optimization method is used, and the obtained Pareto set can guide the matching laws of suspension parameters. Four groups of typical parameter sets are selected, and their stability characteristics, such as speed robustness and equivalent conicity robustness, are analysed in detail, followed by the selection of equivalent conicity and motor flexible suspension parameters. Two parameter design modes for the hunting stability can be reflected.

Suggested Citation

  • Xiangwang Chen & Yuan Yao & Longjiang Shen & Xiaoxia Zhang, 2022. "Multi-objective optimization of high-speed train suspension parameters for improving hunting stability," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 10(2), pages 159-176, March.
    • Handle: RePEc:taf:tjrtxx:v:10:y:2022:i:2:p:159-176
    DOI: 10.1080/23248378.2021.1904444
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    Cited by:

    1. Zhanghao Qu & Peng Zhang & Yaohua Hu & Huanbo Yang & Taifeng Guo & Kaili Zhang & Junchang Zhang, 2023. "Optimal Design of Agricultural Mobile Robot Suspension System Based on NSGA-III and TOPSIS," Agriculture, MDPI, vol. 13(1), pages 1-20, January.

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