控制理论(社会学)
国家观察员
观察员(物理)
滑模控制
模式(计算机接口)
控制工程
计算机科学
国家(计算机科学)
自适应控制
控制(管理)
工程类
物理
人工智能
非线性系统
算法
量子力学
操作系统
作者
Changliang Dang,Manfeng Dou,Shuhao Yan,Mengxi Dang,Yuanlin Wang,Dongdong Zhao,Zhiguang Hua
出处
期刊:IEEE Transactions on Energy Conversion
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:: 1-12
标识
DOI:10.1109/tec.2024.3406380
摘要
Aiming at the application occasions that require high dynamic performance of the drive motor speed controller, this paper proposes an adaptive sliding mode control (ASMC) with an extended state observer (ESO) to enhance the speed control performance of the permanent magnet synchronous motor (PMSM) against internal and external disturbances. Firstly, a new adaptive reaching law (ARL) is proposed, which can suppress the chattering effectively and reduce the convergence time of the system state. Based on ARL, the proposed ASMC for speed control of PMSM drives is developed, combined with an integral-type terminal sliding mode surface. Furthermore, by introducing the nonlinear term into the sliding mode control scheme, the convergence velocity to the equilibrium is improved and the finite-time convergence is guaranteed. Secondly, an ESO is developed to estimate the lumped disturbance for feedforward compensation and update the control algorithm of ASMC. The proposed ASMC+ESO control method enhances robustness against disturbances while maintaining fast dynamic response and high tracking accuracy. Finally, the proposed controller is implemented on a 0.4 kW PMSM test platform and the results confirm the validity.
科研通智能强力驱动
Strongly Powered by AbleSci AI