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五桥臂双永磁同步电机系统优化模型预测控制
引用本文:耿强,巨永龙,周湛清.五桥臂双永磁同步电机系统优化模型预测控制[J].航空动力学报,2019,46(4):8-14, 26.
作者姓名:耿强  巨永龙  周湛清
作者单位:天津工业大学 电气工程与自动化学院,天津300387,天津工业大学 电气工程与自动化学院,天津300387,天津工业大学 电气工程与自动化学院,天津300387
基金项目:国家自然科学基金项目(51577134);天津市教委科研计划项目(2018KJ207)
摘    要:五桥臂逆变器传统模型预测控制一个控制周期内由单矢量作用,降低了2台电机的运行性能。针对该问题,提出了优化模型预测控制策略。通过对2台电机有效电压矢量和零电压矢量的占空比进行整体优化分配,减小电机的转矩波动,提高2台电机的控制精度,进而在满足2台三相电机控制独立性的情况下,提升了电机系统的控制性能。仿真结果验证了所提优化模型预测控制的正确性和有效性。

关 键 词:双电机控制    永磁同步电机    五桥臂逆变器    模型预测控制
收稿时间:2018/10/11 0:00:00

Optimization Model Predictive Control for Dual Permanent MagnetSynchronous Motor System Driven by FiveLeg Inverter
GENG Qiang,JU Yonglong and ZHOU Zhanqing.Optimization Model Predictive Control for Dual Permanent MagnetSynchronous Motor System Driven by FiveLeg Inverter[J].Journal of Aerospace Power,2019,46(4):8-14, 26.
Authors:GENG Qiang  JU Yonglong and ZHOU Zhanqing
Institution:School of Electrical Engineering and Automation, Tianjin Polytechnic University, Tianjin 300387, China,School of Electrical Engineering and Automation, Tianjin Polytechnic University, Tianjin 300387, China and School of Electrical Engineering and Automation, Tianjin Polytechnic University, Tianjin 300387, China
Abstract:The traditional model predictive control for dual permanent magnet synchronous motor system driven by fiveleg inverter reduced the control accuracy of the two motors due to the single vector action in one control cycle. Aiming at this problem, an optimization model predictive control strategy was proposed. By distributing the duty cycles of the active voltage vector and the zero voltage vector of the two motors, the torque ripple was reduced to improve the control precision of the two motors, and then the control performance of the motor system was improved while satisfying the control independence of the two threephase motors. The feasibility and effectiveness of the proposed optimal model prediction control were verified by simulation results.
Keywords:dualmotor control  permanent magnet synchronous motor (PMSM)  fiveleg inverter  model predictive control
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