高 俊,张河山,彭志远,蒋 飞.基于状态转移约束的永磁同步电机 模型预测控制策略[J].电子测量与仪器学报,2021,35(8):86-92
基于状态转移约束的永磁同步电机 模型预测控制策略
Model predictive control method of permanent magnet synchronousmotor based on state transition constraint
  
DOI:
中文关键词:  模型预测控制  状态转移约束  马尔可夫链  电机控制
英文关键词:model predictive control  state transition constraints  Markov chain  motor control
基金项目:重庆市自然科学基金博士后基金(cstc2020jcyj bsh0129)、基于机器学习的纯电动汽车电驱系统预测控制策略(XJZK201911)项目资助
作者单位
高 俊 1. 重庆电子工程职业学院 智能制造与汽车学院 
张河山 2. 重庆交通大学 交通运输学院 
彭志远 3. 重庆长安新能源汽车科技有限公司 
蒋 飞 3. 重庆长安新能源汽车科技有限公司 
AuthorInstitution
Gao Jun 1. Intelligent Manufacturing and Automobile School, Chongqing College of Electronic Engineering 
Zhang Heshan 2. College of Traffic and Transportation, Chongqing Jiaotong University 
Peng Zhiyuan 3. Chongqing Changan New Energy Vehicle Technology Ltd. 
Jiang Fei 3. Chongqing Changan New Energy Vehicle Technology Ltd. 
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中文摘要:
      针对车用永磁同步电机传统模型预测控制方法存在转矩波动和转速波动较大,从而影响汽车乘坐舒适性的问题,提出 了一种新型的考虑永磁同步电机开关切换状态转移概率的改进型模型预测控制方法。 通过永磁同步电机工作中开关切换状态 的历史数据计算状态转移概率矩阵。 在获得转移概率的基础上,根据当前的开关状态和状态转移矩阵得到状态转移约束误差。 接着在模型预测控制算法中制定包含状态转移约束误差项的代价函数,通过代价函数对下一时刻的开关状态进行在线寻优以 获得最优的控制变量。 并基于 MATLAB 平台对该改进型模型预测控制策略进行仿真分析,仿真结果表明,改进型模型预测控 制策略具有更好的转矩和转速响应特性,从而表明基于状态转移的模型预测控制方法能够用于车用永磁同步电机的控制中,并 且对于改善汽车的乘坐舒适性具有重要意义。
英文摘要:
      Conventional model predictive control method of permanent magnet synchronous motor (PMSM) suffers from high torque ripple and speed fluctuation, which affects the ride comfort of vehicle. A model predictive control method based on state transition constraint of a PMSM is proposed. First, the state transition probability matrix is calculated based on the historical data of the switching state of the PMSM. Secondly, the constraint error is obtained according to the current switch state and state transition probability matrix. This constraint error can limit the switching state of the switch at the next moment. Then, the cost function including the state transition constraint error is formulated in the model predictive control algorithm. The optimal switching state at the next moment is searched according to the cost function. The results of simulation study and experiment show that the improved model predictive control strategy proposed in this paper has better torque and speed response characteristics in terms of speed ripple and torque fluctuation. The results show that the proposed model predictive control method based on state transition can be used in the control of vehicle PMSM. It is essential to improve the ride comfort of the vehicle.
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