Improved Predictive Torque control of PMSM Considering Inductance Parameter Mismatch

Xuliang Yao, Feiyang Zhang, Jingfang Wang, Shengqi Huang, Yujian Wang, He Ma
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Abstract

As for the tradition predictive torque control (T-PTC) algorithm in PMSM drive system, the time-varying electromagnetic parameters in the actual system, especially the inductance mismatch, cause a serious degradation in the control quality. To suppress the disturbance to the control system caused by inductance mismatch effectively, this paper proposes an improved robust predictive torque control (IR-PTC) algorithm without using the inductance parameter of the motor. In the proposed algorithm, the previous sampling information is selected to estimate the actual parameter, and the prediction model is established based on the time-derivatives (slopes) of torque and flux, which to improve the steady-state control performance under inductance mismatch. The feasibility and effectiveness of the proposed algorithm are verified by simulation and experimental results.
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考虑电感参数失配的改进PMSM预测转矩控制
传统的预测转矩控制(T-PTC)算法在永磁同步电机驱动系统中,由于实际系统中电磁参数的时变,特别是电感失配,导致控制质量严重下降。为了有效抑制电感失配对控制系统的干扰,提出了一种改进的鲁棒预测转矩控制(IR-PTC)算法,该算法不使用电机的电感参数。在该算法中,选取之前的采样信息来估计实际参数,并基于转矩和磁链的时间导数(斜率)建立预测模型,提高了电感失配下的稳态控制性能。仿真和实验结果验证了该算法的可行性和有效性。
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