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The distributed rotor systems are widely applied in vehicle and the electric vehicle equipped with the rotor systems is viewed as the corner modulus architecture-distributed rotor (CMA-DR) system. The major problem of the CMA-DR system is the existence of the mechanical-electromagnetic (MEM) vibration. Therefore, this work focuses on the development of the control algorithm for the MEM vibration of the CMA-DR system. First, the CMA-DR dynamic system is proposed with the considerations of the 14 DoF vehicle model, the rotor dynamic model and the electro-magnetic motor model. Second, a model-restrictive adaptive dynamic programming (ADP) algorithm is developed based on the design of the cost function. Besides, the model-restrictive Hamilton-Jacobi-Bellman (HJB) equation is designed based on the usage of the reliability barrier function. Moreover, the solution of the proposed algorithm is obtained by approximating the solution via the monic polynomials. Finally, algorithm verifications are conducted to examine the effectiveness of the proposed model-restrictive ADP algorithm.

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Model-Restrictive Adaptive Dynamic Programming for Mechanical-Electromagnetic Vibration Control of Distributed Rotor System in Corner Module Architecture Vehicle

  • 会议论文

  • 发表日期：

    2025年

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  • Jincan Liu,
  • Zhengchao Xie,
  • Wenfeng Li,
  • Pak Kin Wong,
  • Jing Zhao

摘要

The distributed rotor systems are widely applied in vehicle and the electric vehicle equipped with the rotor systems is viewed as the corner modulus architecture-distributed rotor (CMA-DR) system. The major problem of the CMA-DR system is the existence of the mechanical-electromagnetic (MEM) vibration. Therefore, this work focuses on the development of the control algorithm for the MEM vibration of the CMA-DR system. First, the CMA-DR dynamic system is proposed with the considerations of the 14 DoF vehicle model, the rotor dynamic model and the electro-magnetic motor model. Second, a model-restrictive adaptive dynamic programming (ADP) algorithm is developed based on the design of the cost function. Besides, the model-restrictive Hamilton-Jacobi-Bellman (HJB) equation is designed based on the usage of the reliability barrier function. Moreover, the solution of the proposed algorithm is obtained by approximating the solution via the monic polynomials. Finally, algorithm verifications are conducted to examine the effectiveness of the proposed model-restrictive ADP algorithm.