Sliding mode speed control of permanent magnet synchronous motor based on improved reaching law

控制理论(社会学) 滑模控制 法学 观察员(物理) 国家观察员 模式(计算机接口) 计算机科学 电子速度控制 同步电动机 Lyapunov稳定性 指数函数 变结构控制 李雅普诺夫函数 干扰(通信) 工程类 数学 控制(管理) 非线性系统 物理 人工智能 操作系统 数学分析 频道(广播) 电气工程 量子力学 计算机网络 政治学
作者
Xinhong Zou,H.J. Ding,Jinhong Li
出处
期刊:Compel-the International Journal for Computation and Mathematics in Electrical and Electronic Engineering [Emerald Publishing Limited]
卷期号:42 (6): 1335-1348
标识
DOI:10.1108/compel-06-2022-0209
摘要

Purpose This paper aims to present a sliding mode control method based on disturbance observer (DO) for improving the reaching law of permanent magnet synchronous motor (PMSM). Design/methodology/approach Aiming at the insufficiency of the traditional exponential reaching law used in sliding mode variable structure control, an exponential reaching law related to the speed error is proposed. The improved exponential reaching law can adaptively adjust the size of the constant velocity term in the reaching law according to the size of the speed error, so as to adaptively adjust the speed of the system approaching the sliding mode surface to overcome the control deviation and improve the dynamic and steady state performance. To improve the anti-interference ability of the system, a DO is proposed to observe the external disturbance of the system, and the observed value is used to compensate the system. The stability of the system is analyzed by Lyapunov theorem. The effectiveness of this method is proved by simulation and experiment. Findings Simulation and experiment show that the proposed method has the advantages of fast response and strong anti-interference ability. Research limitations/implications The proposed method cannot observe the disturbance caused by the change of internal parameters of the system. Originality/value A sliding mode control method for PMSM is proposed, which has good control performance. The proposed method can effectively suppress chattering, ensure fast response speed and have strong anti-interference ability. The effectiveness of the algorithm is verified by simulation and experiment.

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