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Research on Adaptive Dual-Mode Switch Control Strategy for Vehicle Maglev Flywheel Battery

机译：车辆磁悬浮飞轮电池自适应双模切换控制策略研究

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摘要

Because of the jamming signal is real-time changeable and control algorithm cannot timely tracking control flywheel rotor, this paper takes vehicle maglev flywheel battery as the research object. One kind of dual-model control strategy is developed based on the analysis of the vibration response impact of the flywheel battery control system. In view of the complex foundation vibration problems of electric vehicles, the nonlinear dynamic simulation model of vehicle maglev flywheel battery is solved. Through analyzing the nonlinear vibration response characteristics, one kind of dual-mode adaptive hybrid control strategy based on H infinity control and unbalance displacement feed-forward compensation control is presented and a real-time switch controller is designed. The reliable hybrid control is implemented, and the stability in the process of real-time switch is solved. The results of this project can provide important basic theory support for the research of vehicle maglev flywheel battery control system.
机译：由于干扰信号是实时变化的，并且控制算法不能及时跟踪控制飞轮转子，因此本文以汽车磁悬浮飞轮电池为研究对象。在分析飞轮电池控制系统的振动响应影响的基础上，提出了一种双模型控制策略。针对电动汽车复杂的基础振动问题，求解了汽车磁悬浮飞轮电池的非线性动力学仿真模型。通过分析非线性振动响应特性，提出了一种基于H无穷大控制和不平衡位移前馈补偿控制的双模式自适应混合控制策略，并设计了一种实时开关控制器。实现了可靠的混合控制，解决了实时切换过程中的稳定性。该项目的结果可为车辆磁悬浮飞轮电池控制系统的研究提供重要的基础理论支持。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第17期|327347.1-327347.9|共9页
  • 作者

    Gao Hui; Wu Ying-Jun; Shen Jing-Jin;

  • 作者单位

    Nanjing Univ Posts & Telecommun, Nanjing 210023, Jiangsu, Peoples R China.;

    Nanjing Univ Posts & Telecommun, Nanjing 210023, Jiangsu, Peoples R China.;

    Nanjing Univ Posts & Telecommun, Nanjing 210023, Jiangsu, Peoples R China.;

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