控制理论(社会学)
稳健性(进化)
滑模控制
控制器(灌溉)
李雅普诺夫函数
鲁棒控制
计算机科学
数学
自适应控制
跟踪误差
控制系统
工程类
非线性系统
控制(管理)
人工智能
电气工程
物理
基因
生物
量子力学
化学
生物化学
农学
作者
Ke Shao,Jinchuan Zheng,Hai Wang,Feng Xu,Xueqian Wang,Bin Liang
标识
DOI:10.1016/j.ymssp.2020.107014
摘要
The control performance of linear motor (LM) is deteriorated by payload variations, friction, and external disturbances. In this paper, a robust recursive sliding mode controller combined with an adaptive disturbance observer (RSM-ADO) is proposed for the high-speed and high-precision control of an LM positioner. The benefits of the proposed ADO lie in that it can be designed without the need for the upper bound information of the disturbance and its derivative. Hence, the ADO is ideally capable of rejecting any time-varying disturbances. Furthermore, a recursive integral sliding surface is constructed for the RSM controller such that the reaching phase is eliminated. Benefiting from the proposed recursive structure, the tracking error can converge to zero in finite time. Besides, system chattering is eliminated in the reaching control input due to the integral element. Lyapunov analysis is investigated to prove the finite time convergence of the tracking error under the proposed RSM-ADO control scheme. Experiments demonstrate the superior property of stronger robustness and fewer chattering effects of the proposed method compared to existing disturbance observers and adaptive recursive terminal sliding mode (ARTSM) controller.
科研通智能强力驱动
Strongly Powered by AbleSci AI