Abstract：This paper proposes a model predictive control method with prediction error compensation for permanent magnet synchronous motors (PMSMs), which can improve the poor robustness of motor parameters in the finite-control-set model prediction control. The proposed method has two loops of torque and stator flux separately. The error value between the predicted and actual values at the moment k is fed back to the prediction model at the moment k+1 as a compensation factor. The prediction error of the torque and stator flux was estimated for all voltage vectors in every control cycle to ensure the prediction accuracy. Therefore, when motor parameters are mismatched, the proposed method can achieve reliable torque and stator flux prediction control by online error compensation. Simulation and experimental results prove the effectiveness of the proposed method.
周奇勋, 刘帆, 吴紫辉, 龚豪, 杜光辉. 永磁同步电机转矩与定子磁链模型预测控制预测误差补偿方法[J]. 电工技术学报, 2022, 37(22): 5728-5739.
Zhou Qixun, Liu Fan, Wu Zihui, Gong Hao, Du Guanghui. Model Predictive Torque and Stator Flux Control Method for PMSMs with Prediction Error Compensation. Transactions of China Electrotechnical Society, 2022, 37(22): 5728-5739.
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2022, Vol. 37 
