Adaptive generalized super twisting sliding mode control for PMSMs with filtered high-gain observer

被引:19
|
作者
Lin, Xinpo [1 ]
Zhang, Bo [2 ]
Fang, Shuxian [2 ]
Xu, Ruiqi [1 ]
Guo, Shichang [2 ]
Liu, Jianxing [1 ]
机构
[1] Harbin Inst Technol, Dept Control Sci & Engn, Harbin 150001, Peoples R China
[2] State Grid Heilongjiang Elect Power Co Ltd, Suihua Power Supply Co, Suihua 152000, Peoples R China
基金
中国国家自然科学基金;
关键词
Adaptive control; Sliding mode control; Disturbance observer; Permanent magnet synchronous motor; Motor drive; DISTURBANCE REJECTION CONTROL; MAGNET SYNCHRONOUS MOTOR; SYSTEMS; DESIGN;
D O I
10.1016/j.isatra.2023.02.008
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a novel adaptive-gain generalized super twisting algorithm for permanent magnet synchronous motors. The stability of this algorithm is strict proof using the Lyapunov method. Both controllers of the speed-tracking loop and the current regulation loop are designed according to the proposed adaptive-gain generalized super twisting algorithm. Dynamically adjusted gains in the controllers can improve the transient performance and system's robustness while reducing chattering. A filtered high-gain observer is applied in the speed-tracking loop to estimate the lumped disturbances, including parameter uncertainties and external load torque disturbances. The estimates feeding forward to the controller further improve the robustness of the system. Meanwhile, the linear filtering subsystem reduces the sensitivity of the observer to the measurement noise. Finally, experiments are constructed using the adaptive gain generalized super twisting sliding mode algorithm and the fixed gain one, showing the effectiveness and advantages of the proposed control scheme. & COPY; 2023 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:639 / 649
页数:11
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