Performance Improvement of Model-Predictive Current Control of Permanent Magnet Synchronous Motor Drives

Performance Improvement of Model-Predictive Current Control of Permanent Magnet Synchronous Motor Drives
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DOI:
10.1109/tia.2017.2690998
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发表时间:
2017-04
影响因子:
4.4
通讯作者:
Yongchang Zhang;Donglin Xu;Jiali Liu;Suyu Gao;W. Xu
Yongchang Zhang;Donglin Xu;Jiali Liu;Suyu Gao;W. Xu
中科院分区:
工程技术2区
文献类型:
--
作者:
Yongchang Zhang;Donglin Xu;Jiali Liu;Suyu Gao;W. Xu

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模型预测电流控制(MPCC)因其响应速度快、原理简单而被广泛认为是一种高性能的永磁同步电机(PMSM)控制策略。它使用一个成本函数来选择最佳的电压矢量,使参考值和反馈值之间的电流误差最小化。然而,由于在一个控制周期期间仅施加一个电压矢量,因此由于电压矢量有限,特别是在两电平变换器的情况下,它不能给出令人满意的性能。提出了一种改进的永磁同步电机MPCC控制策略,该策略首先根据定子电压和电流的历史值估计反电动势,然后将估计的反电动势应用于定子电流预测。为了实现稳态性能的改善,零矢量沿着从传统MPCC获得的有效矢量在一个控制周期期间被应用。提出了两种方法来实现最佳的矢量选择和矢量持续时间。第一个需要六个预测和电流微分的计算,而第二个只需要一个预测,以获得最佳的电压矢量和其最佳的占空比可以得到一个非常有效的方式。所提出的方法进行了比较研究,并与传统的MPCC和空间矢量调制的无差拍控制。仿真和实验结果都证实了所提出的方法的有效性,在实现良好的稳态性能,同时保持快速的动态响应。
Model-predictive current control (MPCC) is widely recognized as a high-performance control strategy of permanent magnet synchronous machine (PMSM) drives due to its quick response and simple principle. It uses a cost function to select the best voltage vector minimizing the current error between the reference value and the feedback value. However, as only one voltage vector is applied during one control period, it fails to give satisfactory performance due to the limited voltage vectors, especially in the case of two-level converters. This paper proposes an improved MPCC strategy for PMSM drives, which first estimates the back electromotive force (EMF) based on the past value of stator voltage and currents and then applies the estimated EMF in the stator current prediction. To achieve steady-state performance improvement, a null vector along with the active vector obtained from conventional MPCC is applied during one control period. Two methods are proposed to achieve optimal vector selection and vector duration. The first one requires six predictions and the calculation of current differentiation, while the second one only requires one prediction to obtain the best voltage vector and its optimal duty can be obtained in a very efficient way. The proposed methods are comparatively studied and compared to conventional MPCC and deadbeat control with space vector modulation. Both simulation and experimental results confirm the effectiveness of the proposed methods in achieving good steady-state performance while maintaining quick dynamic response.