五相永磁同步电机串级模型预测电流控制

Model predictive current control based on series cost function for five-phase permanent magnet synchronous machines

在五相永磁同步电机(PMSM)模型预测控制中,通过繁琐的计算法获取权重系数难以保证系统控制性能最优。针对该问题,本文采用级联模型预测控制的思想,提出五相PMSM串级模型预测电流控制。首先,分析所提方法选择最优电压矢量的机理。然后,结合五相PMSM的特点,设定被控变量的控制优先级,提出两种无权重系数的成本函数设计方案:基波电流优化方案采用幅值高的电压矢量,提高直流母线电压利用率和动态响应能力;谐波电流优化方案减小定子电流谐波,以降低系统噪声和振动。实验结果表明,所提方法能够保证施加电压矢量的最优性,使五相PMSM在不同工况下获得转矩脉动小、动态响应快、谐波电流小的良好性能。

In the model predictive control for five-phase permanent magnet synchronous motor(PMSM),it is difficult to ensure the optimal control performance by using calculation method to obtain the weighting factor.To solve this problem,a model predictive current control based on series cost function is proposed for five-phase PMSM.Firstly,the principle of selecting the optimal voltage vector by the proposed method is analyzed in detail.Then,combined with the characteristics of five-phase PMSM,the control priority of controlled variables is set for designing two cost function schemes without weight factor.The maximum torque scheme can generate a trapezoidal stator voltage,improving the DC bus voltage utilization rate and the system loading capacity.The minimum harmonic current scheme can reduce the harmonic of stator current,obtaining small system noise and vibration.The experimental results indicate that the proposed method can ensure the optimality of the voltage vector applied.Therefore,the five-phase PMSM obtains good performance under different working operation,such as small torque ripple,fast dynamic response and small harmonic current.