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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2011  >  11(2): 52-58
SONG Peng-yun, ZHANG Ji-ye, ZHANG Ke-yue. Robust control of lateral self-powered active suspension for railway vehicle[J]. Journal of Traffic and Transportation Engineering, 2011, 11(2): 52-58. doi: 10.19818/j.cnki.1671-1637.2011.02.009
Citation: SONG Peng-yun, ZHANG Ji-ye, ZHANG Ke-yue. Robust control of lateral self-powered active suspension for railway vehicle[J]. Journal of Traffic and Transportation Engineering, 2011, 11(2): 52-58. doi: 10.19818/j.cnki.1671-1637.2011.02.009
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Robust control of lateral self-powered active suspension for railway vehicle

doi: 10.19818/j.cnki.1671-1637.2011.02.009
  • 1.

    Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

  • 2.

    Department of Civil Engineering, Southwest Jiaotong University, Emeishan 614202, Sichuan, China

More Information
  • Author Bio:

    SONG Peng-yun(1985-), male, doctoral student, +86-28-87600147, songpy23@gmail.com

    ZHANG Ji-ye(1965-), male, professor, +86-28-87634355, jyzhang@home.swjtu.edu.cn

  • Received Date: 2010-12-22
  • Publish Date: 2011-04-25
    Abstract
  • In order to ensure the stability of lateral self-powered active suspension system with parametric uncertainty for railway vehicle, a robust H∞ controller design approach was proposed based on linear quadratic regulator with cross-product terms. A robust H∞ controller was designed for suspension system model with perturbation. The energy balance condition of self-powered active suspension system with perturbation was analyzed, and the control system was simulated by using MATLAB/SIMULINK. Simulation result indicates that the structure singular peak value of closed-loop system with parametric uncertainty is 0.867 5, and the controller makes self-powered active suspension system stable. The resonant frequency gain of vehicle model reduces by 40 dB, and the vibration isolation performance suspension is improved obviously. The recycled energy in the whole simulation process is 29.5 J, and the energy balance of the system is achieved.

     

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