二阶非线性系统的自适应全阶时变滑模控制

IF 2.5 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

European Journal of Control Pub Date : 2025-02-22 DOI:10.1016/j.ejcon.2025.101209

Reza Hajibabaei , Amir Pourhaji , Fengjun Yan

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引用次数: 0

摘要

针对不确定二阶非线性系统，提出了一种新颖的自适应鲁棒控制器。该方法结合了一种新颖的滑动表面，无缝地融合了时变和快速终端滑动表面的优点。该集成旨在消除到达相位，增强鲁棒性，减小稳态误差，消除抖振，避免控制信号中的奇异性。此外，还建立了一个自适应律来估计不确定性的边界。利用李雅普诺夫稳定性方法证明了闭环的稳定性和收敛性。仿真结果表明该控制器具有良好的控制性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Adaptive full-order time-varying sliding mode control for second-order nonlinear systems

This paper presents an innovative adaptive robust controller designed for uncertain second-order nonlinear systems. The proposed method incorporates a novel sliding surface that seamlessly blends the benefits of both time-varying and fast terminal sliding surfaces. This integration aims to eliminate the reaching phase, enhance robustness, reduce steady-state error, eradicate chattering, and avoid singularity in the control signal. Additionally, an adaptive law is formulated to estimate the bounds of uncertainties. The closed-loop stability and convergence are demonstrated using the Lyapunov stability method. Simulation results indicate the superior performance of the presented controller.

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来源期刊

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.