To mitigate parameter sensitivity of the permanent magnet synchronous motor (PMSM) under the model predictive control (MPC), a simple motor-parameter-free model predictive voltage control (SMPF-MPVC) is proposed in this article. First, a brief overview of the conventional MPVC is presented, followed by an analysis of the consequences arising from parameter mismatch within the system. Subsequently, an incremental model is established to eliminate the effects of flux linkage and resistance mismatch. Furthermore, an integral controller is designed to remove the effects caused by inductance mismatch. As a result, a voltage prediction model is established independent of any motor parameters, fundamentally eliminating the influences of motor-parameter mismatch on MPVC. Finally, the effectiveness of the proposed SMPF-MPVC method is verified on a 1.25-kW experimental platform.

中文翻译：

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基于增量模型的PMSM驱动简单无电机参数模型预测电压控制


为了减轻模型预测控制（MPC）下永磁同步电机（PMSM）的参数敏感性，本文提出了一种简单的电机无参数模型预测电压控制（SMPF-MPVC）。首先，对传统的 MPVC 进行了简要概述，然后分析了系统内参数不匹配所产生的后果。随后，建立增量模型以消除磁链和电阻失配的影响。此外，还设计了积分控制器来消除电感失配造成的影响。从而建立了独立于任何电机参数的电压预测模型，从根本上消除了电机参数失配对MPVC的影响。最后，在1.25kW实验平台上验证了所提出的SMPF-MPVC方法的有效性。