田军明, 程启明, 张昕, 叶培乐, 程尹曼. 基于改进型M2PC控制方法的MC-PMSM控制系统[J]. 高电压技术, 2024, 50(5): 2097-2106. DOI: 10.13336/j.1003-6520.hve.20221258
引用本文: 田军明, 程启明, 张昕, 叶培乐, 程尹曼. 基于改进型M2PC控制方法的MC-PMSM控制系统[J]. 高电压技术, 2024, 50(5): 2097-2106. DOI: 10.13336/j.1003-6520.hve.20221258
TIAN Junming, CHENG Qiming, ZHANG Xin, YE Peile, CHENG Yinman. MC-PMSM Control System Based on Improved M2PC Control Method[J]. High Voltage Engineering, 2024, 50(5): 2097-2106. DOI: 10.13336/j.1003-6520.hve.20221258
Citation: TIAN Junming, CHENG Qiming, ZHANG Xin, YE Peile, CHENG Yinman. MC-PMSM Control System Based on Improved M2PC Control Method[J]. High Voltage Engineering, 2024, 50(5): 2097-2106. DOI: 10.13336/j.1003-6520.hve.20221258

基于改进型M2PC控制方法的MC-PMSM控制系统

MC-PMSM Control System Based on Improved M2PC Control Method

  • 摘要: 针对传统的模型预测控制(model predictive control, MPC)方法、调制模型预测控制(modulation MPC, M2PC)存在的问题,提出改进型M2PC方法,并用于矩阵变换器(matrix converter, MC)-永磁同步电机(permanent magnet synchronous motor, PMSM)系统控制。首先,给出了MC-PMSM的拓扑结构,分析了基于传统MPC、M2PC方法的MC-PMSM控制系统及其存在的问题;接着,提出了基于改进型M2PC方法,该方法不但能够固定开关频率,还能降低计算量和改善波形质量;最后,在RTDS平台上对MC-PMSM系统采用改进型M2PC方法进行仿真,并与采用传统的MPC、M2PC方法进行了比较。结果表明,所提改进型M2PC方法的控制性能优于传统的MPC、M2PC方法。

     

    Abstract: Aiming at the problems existing in the traditional model predictive control (MPC) method and modulation model predictive control (M2PC) method, we put forward an improved M2PC method and apply it to the matrix converter (MC)-permanent magnet synchronous motor (PMSM) system control. Firstly, the topology of MC-PMSM is given, and the existing problems of MC-PMSM control system based on traditional MPC and M2PC methods are analyzed. Then, a solution based on the improved M2PC method is proposed, which can not only fix the switching frequency, but also reduce the amount of calculation and improve the waveform quality. Finally, the MC-PMSM system is simulated on the RTDS platform using the improved M2PC method, and compared with the traditional MPC and M2PC methods. The results show that the control performance of the proposed improved M2PC method is superior to the traditional MPC and M2PC methods.

     

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