失配参数在线矫正的永磁同步电机预测电流控制

Predictive current control of permanent magnet synchronous motor based on online correction of mismatch parameters

针对永磁同步电机预测电流控制模型参数失配引起的系统性能下降问题,提出一种基于内模控制观测器的应对策略来矫正模型参数.首先,根据旋转坐标系下的永磁同步电机动态模型,设计了d,q轴电流内模控制观测器并进行稳定性推导证明,观测器可以无静差估计d,q轴电流变化率,进而在线估计电机参数;然后,由卡尔曼滤波减弱参数噪声得到最优参数估计,阈值化处理最优参数估计后在线更新失配参数.最后,在稳态和调速阶段两种不同工况中,将所提策略应用于参数失配的永磁同步电机三矢量预测电流控制;实验结果表明,与同类方法相比,所提策略能在线矫正失配参数,在改善电流波动系数及总谐波畸变率方面表现更好.

Aiming at the problem of system performance degradation caused by parameter mismatch of model predictive current control for permanent magnet synchronous motor(PMSM), a coping strategy based on internal model control observer is proposed to correct model parameters. Firstly, according to the dynamic model of PMSM in rotating coordinate system, the d-axis and q-axis current internal model control observers are designed, and the stability is deduced. It is proved that the observer can estimate the d-axis and q-axis current change rate without static error, and the motor parameters can be estimated online. Then, the optimal parameter estimation is obtained by Kalman filtering to reduce the parameter noise, and the mismatch parameters are updated online after the optimal parameter estimation is processed by thresholding. Finally,the proposed strategy is applied to three vector predictive current control of PMSM with mismatched parameters in steady state and speed regulation stage. Compared with the similar methods, the experimental results show that the proposed strategy can correct the mismatch parameters on-line and performs better in improving the current fluctuation coefficient and total harmonic distortion rate.