To achieve ideal deadbeat current control of the surface-mounted permanent magnet synchronous motor (SPMSM) drives under parameter mismatch, a model parameter self-correcting deadbeat predictive current control method (MPSC-DPCC) is proposed in this article. First, the impact of parameter mismatch on conventional deadbeat predictive current control (DPCC) using an extended state observer (ESO) is analyzed, indicating that neglecting resistance leads to a transient drop in the current step response, and the under/overshoot caused by inductance mismatch cannot be improved by ESO. Afterward, a model parameter self-correction scheme (MPSC) is proposed to form a closed-loop disturbance regulation system by integrating with ESO. In this system, the observed disturbances are regulated to zero by adjusting the model parameters, enabling indirect correction of all model parameters without signal injection. The proposed MPSC-DPCC, comprising DPCC, ESO, and MPSC, exhibits strong robustness against initial model parameter mismatch and motor parameter variation. The ideal deadbeat current control without any transient drop and under/overshoot can be easily achieved, and it is not limited by the observer bandwidth. Experimental results validate the superiority of the MPSC-DPCC compared with conventional methods.

中文翻译：

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SPMSM 驱动器的模型参数自校正无差拍预测电流控制


为了在参数失配的情况下实现表面贴装永磁同步电机（SPMSM）驱动器的理想无差拍电流控制，提出了一种模型参数自校正无差拍预测电流控制方法（MPSC-DPCC）。首先，分析了参数失配对使用扩展状态观测器（ESO）的传统无差拍预测电流控制（DPCC）的影响，表明忽略电阻会导致电流阶跃响应瞬态下降，以及电感引起的下冲/过冲ESO 无法改善失配。随后，提出了模型参数自校正方案（MPSC），与ESO集成形成闭环扰动调节系统。在该系统中，通过调整模型参数将观测到的扰动调节为零，从而无需信号注入即可间接校正所有模型参数。所提出的 MPSC-DPCC 由 DPCC、ESO 和 MPSC 组成，对初始模型参数失配和电机参数变化表现出很强的鲁棒性。可以轻松实现没有任何瞬态压降和下冲/过冲的理想无差拍电流控制，并且不受观测器带宽的限制。实验结果验证了MPSC-DPCC与传统方法相比的优越性。