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Nonlinear Hybrid Multipoint Model of High-Speed Train with Traction/Braking Dynamic and Speed Estimation Law

Author

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  • Chao Jia
  • Hongze Xu
  • Longsheng Wang

Abstract

This paper establishes a NHMPM (Nonlinear Hybrid Multipoint Model) for HST (High-Speed Train) with the traction/braking dynamic and speed estimation law. Firstly, a full-order flux observer is designed using regional pole assignment theory to calculate the electromagnetic torque. The traction and braking forces are obtained according to this electromagnetic torque. Then the basic running resistance force is reformulated by considering the aerodynamic drag distribution characteristics, and the nonlinear in-train coupling force is analyzed as well. Next, the NHMPM including integer variables of running status and car types is built, where an adaptive parameter estimation algorithm and a speed estimation law are proposed to estimate unknown resistance coefficients and train speed, respectively. The effectiveness of the proposed algorithm, law, and NHMPM is verified through numerical simulations last.

Suggested Citation

  • Chao Jia & Hongze Xu & Longsheng Wang, 2019. "Nonlinear Hybrid Multipoint Model of High-Speed Train with Traction/Braking Dynamic and Speed Estimation Law," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-14, January.
    • Handle: RePEc:hin:jnlmpe:1364657
    DOI: 10.1155/2019/1364657
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    Cited by:

    1. Andrzej Chudzikiewicz & Ignacy Góra & Juraj Gerlici & Seweryn Koziak & Andrzej Krzyszkowski & Anna Stelmach, 2024. "Model of Electric Locomotive Simulator Cabin Excitations," Energies, MDPI, vol. 17(12), pages 1-18, June.

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