Deadbeat Predictive Current Control Based on Accurate Discrete Luenberger Observer for PMSM under Low Frequency Ratio

Yanping Zhang, Zhonggang Yin, Wen-Hu Huang, Bai Cong
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Abstract

Aiming at the problems of discrete truncation error and parameter sensitivity of traditional deadbeat predictive current control under low frequency ratio, a deadbeat predictive current control based on accurate discrete Luenberger observer for permanent magnet synchronous motor is proposed. In order to eliminate the angle delay caused by coordinate transformation, an accurate discrete model of permanent magnet synchronous motor is established in the $\alpha\beta$-axes. On this basis, an accurate model deadbeat predictive current control is designed. At the same time, in order to suppress the steady-state error of deadbeat predictive current control caused by parameter mismatch, an accurate discrete Luenberger observer is embedded in the deadbeat predictive current control, which directly designs the parameters of the Luenberger observer in the discrete domain, and analyzes the stability of the accurate discrete Luenberger observer. Finally, the effectiveness of the proposed method is verified on a 2.1 kW permanent magnet synchronous motor experimental platform.
低频比下基于精确离散Luenberger观测器的永磁同步电机无差拍预测电流控制
针对传统无差拍预测电流控制在低频比下存在离散截断误差和参数敏感性等问题,提出了一种基于精确离散Luenberger观测器的永磁同步电机无差拍预测电流控制方法。为了消除坐标变换引起的角度延迟,在$\alpha\beta$ -轴上建立了永磁同步电机的精确离散模型。在此基础上,设计了精确的无差拍预测电流控制模型。同时,为了抑制参数失配引起的无差拍预测电流控制稳态误差,在无差拍预测电流控制中嵌入精确离散Luenberger观测器,直接在离散域设计Luenberger观测器的参数,并对精确离散Luenberger观测器的稳定性进行分析。最后,在2.1 kW永磁同步电机实验平台上验证了该方法的有效性。
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