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Advanced online parameter identification-based PWM predictive control for AC servo systems

机译:基于高级在线参数识别的交流伺服系统PWM预测控制

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A novel online inductance and flux identification method for AC servo motor based on PWM predictive current control is proposed in this paper. The influences of inductance and flux inconsistency on d,q current responses are theoretically deduced, by achieving the d axis feedback current as zero after the successful identification of real motor inductance according to d axis current error during the steady state. The complexity of q axis current formula can be decreased and makes the flux identification possible according to q axis current error. The proposed method is quite convenient to be realized in servo systems and the dynamic performance of predictive current control is greatly enhanced. Effectiveness of the proposed methods is verified through simulation and experiment on a 750W PMSM servo system.
机译:提出了一种新的基于PWM预测电流控制的交流伺服电机在线电感和磁通辨识方法。通过根据稳态期间的d轴电流误差成功识别出实际的电机电感后,通过将d轴反馈电流设为零,理论上可以得出电感和磁通不一致对d,q电流响应的影响。可以降低q轴电流公式的复杂性,并可以根据q轴电流误差识别磁通量。该方法在伺服系统中实现十分方便,大大提高了预测电流控制的动态性能。通过在750W PMSM伺服系统上的仿真和实验验证了所提方法的有效性。

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