Output feedback control of uncertain Euler-Lagrange systems by internal model

被引:3
|
作者
He, Xingxiu
Lu, Maobin [1 ]
机构
[1] Beijing Inst Technol, Sch Automat, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Euler-Lagrange system; Internal model; Robust control; Trajectory tracking; Disturbance rejection; ADAPTIVE MANIPULATOR CONTROL; LEADER-FOLLOWING CONSENSUS; ROBUST-CONTROL; ROBOT MANIPULATORS; TRACKING CONTROL; SUBJECT;
D O I
10.1016/j.automatica.2023.111189
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we investigate the trajectory tracking control problem of a class of uncertain Euler- Lagrange systems subject to disturbances. In sharp contrast to existing approaches where the position, the velocity, and the acceleration of the reference trajectory are assumed to be measurable, we propose a class of dynamic output feedback control laws which depends on the tracking error of the position and that of the velocity. Specifically, by characterizing the reference trajectory and the disturbances with an exosystem, we design an internal model to learn the desired feedforward input such that the reference trajectory can be tracked in spite of unknown system parameters and disturbances. The effectiveness of the proposed approach is illustrated by its application to trajectory tracking control of a three-link cylindrical robot arm.& COPY; 2023 Elsevier Ltd. All rights reserved.
引用
收藏
页数:9
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