Relative-velocity-free output-feedback consensus control for multiple Euler–Lagrange systems based on high-order extended state observer

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-10-28 DOI:10.1016/j.jfranklin.2024.107356
Xinchen Guo , Chuanming Song , Hongxiang Zhang , Zhenying Liang
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Abstract

In this paper, an output-feedback controller is devised with the assistance of two types of observers to deal with the leader-following consensus control problem of multiple Euler–Lagrange (EL) systems, which are subject to model uncertain parameters, external disturbances, and unmeasured velocity. First, a local high-order extended state observer is put forward to estimate both the compound disturbance and unmeasured velocity for each EL system, and the boundedness of the estimation errors can be guaranteed under standard assumptions. Then, a novel distributed finite/fixed-time observer is proposed to observe the leader’s position and velocity without using the relative velocity information. Based on these two kinds of observers, a distributed output-feedback control algorithm, which does not depend on any global information, is constructed using the back-stepping method, while some sufficient conditions are derived to guarantee that tracking errors are semi-globally uniformly ultimately bounded. Finally, the effectiveness of the presented control scheme is further verified by a numerical simulation.
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基于高阶扩展状态观测器的多欧拉-拉格朗日系统无相对速度输出反馈共识控制
本文设计了一种输出反馈控制器,借助两类观测器来处理多个欧拉-拉格朗日(EL)系统的领跑者-追随者共识控制问题,这些系统都受到模型不确定参数、外部扰动和未测量速度的影响。首先,提出了一种局部高阶扩展状态观测器来估计每个 EL 系统的复合干扰和未测速度,并在标准假设下保证了估计误差的有界性。然后,提出了一种新型分布式精细/定时观测器,用于观测领跑者的位置和速度,而无需使用相对速度信息。在这两种观测器的基础上,利用后步法构建了一种不依赖于任何全局信息的分布式输出反馈控制算法,并推导出一些充分条件来保证跟踪误差是半全局均匀最终约束的。最后,通过数值模拟进一步验证了所提出的控制方案的有效性。
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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