Enhanced Deadbeat Predictive Current Control for PMSM Drives Using Iterative Sliding Mode Observer

被引:10
|
作者
Lei, Jiaxin [1 ]
Fang, Shuhua [1 ]
Huang, Demin [1 ]
Wang, Yicheng [1 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Peoples R China
基金
中国国家自然科学基金;
关键词
Deadbeat predictive current control (DPCC); iterative learning control (ILC); permanent-magnet synchronous motor (PMSM); sliding mode observer (SMO); EXTENDED STATE OBSERVER;
D O I
10.1109/TPEL.2023.3306157
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The article proposes an enhanced deadbeat predictive current control for the permanent-magnet synchronous motor using an iterative sliding mode observer to improve the current control accuracy. The inevitable deadtime and distortion of flux linkage will lead to large periodic current ripples related to the speed, which may degrade the performance of the motor control. To overcome these problems and improve the robustness of the controller, the iterative learning control (ILC) and sliding mode observer are combined, and feedforward to the deadbeat controller for prediction accuracy improvement. Moreover, in order to satisfy the requirements of the variable speed operation of the motor, the ILC is enhanced to achieve spatial learning ability. Experimental results are finally implemented on STM32-based platform to validate the effectiveness of the proposed method for current ripples suppression and adaptability to variable speed.
引用
收藏
页码:13866 / 13876
页数:11
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