Enhanced Deadbeat Predictive Current Control for SPMSM Drives Combining Robust Super-Twisting Terminal Sliding Mode Speed Controller

Mengxi Dang, Manfeng Dou, Zhiguang Hua, Changliang Dang, Chao Gong, Dongdong Zhao, Yuanlin Wang, Bin Liang

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

To promote the drive performance of surface-mounted permanent magnet synchronous motor (SPMSM), such as responsiveness, tracking accuracy, and anti-disturbance capability, an enhanced deadbeat predictive current control (DPCC) algorithm combining super-twisting terminal sliding mode is proposed in this paper. First, a novel SPMSM model considering parameter perturbation is derived. Subsequently, a super-twisting terminal sliding mode control (STSMC) scheme with a super-twisting observer (STO) is proposed to enhance the performance of the speed loop, with stability validated using Lyapunov theory. In addition, two extended state observers (ESOs) are developed to estimate the predictive error caused by parameter mismatch in the <italic>dq</italic> axis, respectively, and the estimated values are compensated with feedback to DPCC. Finally, the proposed control methods are implemented on an SPMSM platform and compared with conventional control methods under various operating conditions, and the comparison results prove the superiority.

源语言英语
页(从-至)1
页数1
期刊IEEE Journal of Emerging and Selected Topics in Power Electronics
DOI
出版状态已接受/待刊 - 2024

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