Concave K∞ function-based adaptive tracking control of nonlinear second-order system

IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Wu Yang , Xing Zhang , Li-Mei Wei , Yan-Wu Wang , Xiao-Kang Liu
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引用次数: 0

Abstract

How to simultaneously avoid the chattering and overestimation phenomena in classical adaptive sliding mode control is interesting but challenging. In this paper, we investigate the tracking control issue for a class of nonlinear second-order system with external disturbances, in which the bound of external disturbances exists but is unknown. To solve issue, we introduce the so-called concave K function and design a continuous nonsingular terminal sliding mode controller. We first show that both the sliding variable and tracking error can be regulated into an small vicinity of zero within finite time without overestimating the control gain and the unexpected chattering. We then validate the superiority of the proposed method in terms of dynamics, steady-state performance, and anti-interference capability through conducting simulation experiments on magnetic levitation system.
基于凹K∞函数的非线性二阶系统自适应跟踪控制
如何同时避免经典自适应滑模控制中的抖振和过估计现象是一个有趣但具有挑战性的问题。本文研究了一类具有外部扰动的非线性二阶系统的跟踪控制问题,该系统存在外部扰动的界,但未知。为了解决这个问题,我们引入了所谓的凹K∞函数,并设计了一个连续的非奇异终端滑模控制器。我们首先证明滑动变量和跟踪误差都可以在有限时间内被调节到很小的零附近,而不会高估控制增益和意外抖振。通过对磁悬浮系统的仿真实验,验证了该方法在动力学、稳态性能和抗干扰能力方面的优越性。
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来源期刊
European Journal of Control
European Journal of Control 工程技术-自动化与控制系统
CiteScore
5.80
自引率
5.90%
发文量
131
审稿时长
1 months
期刊介绍: The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field. The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering. The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications. Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results. The design and implementation of a successful control system requires the use of a range of techniques: Modelling Robustness Analysis Identification Optimization Control Law Design Numerical analysis Fault Detection, and so on.
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