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针对永磁同步电机的解耦模型预测转矩控制策略研究

Research on Decoupling Model Predictive Torque Control Strategy for Permanent Magnet Synchronous Motor

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【作者】 班斐连广坤顾国彪

【Author】 BAN Fei;LIAN Guangkun;GU Guobiao;Institute of Electrical Engineering Chinese Academy of Sciences;University of Chinese Academy of Sciences;

【机构】 中国科学院电工研究所中国科学院大学

【摘要】 针对传统模型预测转矩控制策略中预测模型复杂且不解耦的问题,本文首先对比分析了电流型和电压型两种预测模型并选择了电压型预测模型,其次基于电压预测模型对模型预测转矩算法实现了解耦。此外,基于有限集在解耦预测模型中应用单矢量、单矢量+零矢量和三矢量优化策略。最后,验证了解耦模型预测转矩控制策略的可行性以及随着电压矢量自由度的释放控制效果显著提升的结论。

【Abstract】 Aiming at the complex and undecoupled predictive model of the traditional model predictive torque control strategy, this paper firstly compares the two types of current and voltage predictive models and selects the voltage predictive model. Secondly, the model predictive torque strategy is decoupled based on the voltage predictive model. In addition, single vector, single vector adding zero vector and three vector optimization strategies are applied in the decoupling predictive model based on the finite set. Finally, the feasibility of decoupling model predictive torque control strategy and the conclusion that the control effect is significantly improved with the release of voltage vector degrees of freedom are verified.

【关键词】 预测模型解耦有限集电压矢量
【Key words】 predictive modeldecouplingfinite setvoltage vector
  • 【文献出处】 大电机技术 ,Large Electric Machine and Hydraulic Turbine , 编辑部邮箱 ,2020年01期
  • 【分类号】TM341
  • 【被引频次】5
  • 【下载频次】163
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