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Simplified predictive torque control for permanent magnet synchronous motor with discrete duty cycle control

机译:具有离散占空比控制的永磁同步电动机的简化预测转矩控制

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摘要

Here, a simplified predictive torque control strategy based on discrete duty cycle technology is proposed for the voltage source inverter permanent magnet synchronous motor drive system. Combining the discrete duty cycle technology, the candidate vectors are synthesised by two adjacent active vectors and zero vectors, and meanwhile, the duty cycles of the two adjacent active vectors and zero vectors are generated directly. Afterwards, an extended control set is constructed to improve the control accuracy of torque and flux. An inverted triangular matrix is constructed to store the duty cycle information, which corresponds to the row and column number of the elements. Also, the inverted triangle matrix is divided into three subregions according to the value of duty ratios. A cost function containing only the stator voltage vector error term is constructed and based on the geometric position of the reference voltage vector, the target region in the inverted triangle matrix is determined and the optimal vector is selected. So, the optimal vector prediction process and the duty cycle calculation process are combined into one, reducing the complexity of obtaining the optimal vector. Finally, the feasibility and effectiveness of the proposed algorithm are verified by experiments.
机译:在此,针对电压源逆变器永磁同步电动机驱动系统,提出了一种基于离散占空比技术的简化预测转矩控制策略。结合离散占空比技术,由两个相邻的有效矢量和零矢量合成候选矢量,同时,直接生成两个相邻的有效矢量和零矢量的占空比。之后,构建扩展控制集以提高转矩和磁通的控制精度。构造倒三角矩阵以存储占空比信息,该占空比信息对应于元素的行数和列数。另外,根据占空比的值将倒三角矩阵分为三个子区域。构造仅包含定子电压矢量误差项的成本函数,并基于参考电压矢量的几何位置,确定倒三角矩阵中的目标区域,并选择最佳矢量。因此,将最优矢量预测过程和占空比计算过程合二为一,降低了获得最优矢量的复杂度。最后,通过实验验证了该算法的可行性和有效性。

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  • 来源
    《Electric Power Applications, IET 》 |2019年第3期| 294-301| 共8页
  • 作者单位

    Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China;

    Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China;

    Tianjin Polytech Univ, Sch Elect Engn & Automat, Tianjin, Peoples R China;

    Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China|Tianjin Polytech Univ, Sch Elect Engn & Automat, Tianjin, Peoples R China;

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