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Three-Vector Model Predictive Current Control of Permanent Magnet Synchronous Motor Based on SVM

机译:基于SVM的永磁同步电动机三矢量模型预测电流控制。

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Aiming at the problem that the conventional model predictive current control (MPCC) of permanent magnet synchronous motor (PMSM) fed by two level voltage-source inverter (VSI) applies only one voltage vector during a control period, which makes the stator current tracking control over-regulated or under-regulated, a three-vector model predictive current control algorithm based on space vector modulation (SVM) is investigated in this paper. The principle of SVM, the parallelogram law, is adopted to synthesize the expected voltage vector with two adjacent active vectors, so that the expected voltage vector can cover any phases and amplitudes. The durations of the basic voltage vectors are calculated by the principle of deadbeat current control. The time delay caused by the computing time will cause the stator current to oscillate around its reference and increase the torque ripples. To address this, the delay compensation method is employed to improve the control performance of the system. The validity and feasibility of the proposed method is verified by the comparative researches of simulation modeling.
机译:针对两电平电压源逆变器(VSI)馈电的永磁同步电动机(PMSM)的常规模型预测电流控制(MPCC)在控制期间仅施加一个电压矢量的问题,使得定子电流跟踪控制成为可能。过度调节或调节不足,本文研究了一种基于空间矢量调制(SVM)的三矢量模型预测电流控制算法。采用支持向量机原理,即平行四边形定律,将期望电压矢量与两个相邻的有效矢量合成,从而期望电压矢量可以覆盖任何相位和幅度。基本电压矢量的持续时间是根据无差拍电流控制原理来计算的。由计算时间引起的时间延迟将导致定子电流在其参考值附近振荡并增加转矩脉动。为了解决这个问题,采用延迟补偿方法来改善系统的控制性能。通过仿真建模的比较研究,验证了该方法的有效性和可行性。

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