基于改进型障碍函数自适应滑动模式的柔性连杆机械手跟踪控制

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Asian Journal of Control Pub Date : 2024-04-25 DOI:10.1002/asjc.3383
Feng Jing, Caiwen Ma, Fan Wang, Meilin Xie, Xubin Feng, Xiao Fan, Xuan Wang, Peng Liu
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引用次数: 0

摘要

本文介绍了一种新型控制器,用于在关节空间内存在参数不确定性和外部干扰的情况下,对柔性连杆机械手进行鲁棒跟踪控制。所提出的控制器采用自适应滑模控制方法,并结合了改进的障碍函数,以确保轨迹误差保持在预定义的性能范围内。这种设计可在不高估控制切换增益的情况下提高跟踪性能。此外,还引入了固定时间自适应滑模控制,其特点是快速非奇异终端滑模变量,以加快初始阶段系统状态的收敛速度。通过 Lyapunov 方法确定了所提控制方案的有效性,证明了轨迹误差在有限时间内收敛到指定的零邻域。通过与现有的两种自适应控制方案进行比较,在柔性连杆系统上进行的实验验证证明了所提控制策略的有效性和优势。
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Tracking control of a flexible-link manipulator based on an improved barrier function adaptive sliding mode

In this paper, a novel controller designed for robust tracking control of a flexible-link manipulator operating in the presence of parameter uncertainties and external disturbances within the joint space is introduced. The proposed controller employs an adaptive sliding mode control approach, incorporating an improved barrier function, to ensure that trajectory errors remain within predefined performance bounds. This design enhances the tracking performance without overestimating control-switching gains. Additionally, a fixed-time adaptive sliding mode control, featuring a rapid nonsingular terminal sliding mode variable, is introduced to expedite the convergence rate of the system state during the initial stages. The efficacy of the proposed control scheme is established through the Lyapunov method, demonstrating finite-time convergence of the trajectory error to a specified neighborhood of zero. Experimental validation on a flexible-link system supports the effectiveness and advantages of the proposed control strategy, as evidenced via comparisons with two existing adaptive control schemes.

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来源期刊
Asian Journal of Control
Asian Journal of Control 工程技术-自动化与控制系统
CiteScore
4.80
自引率
25.00%
发文量
253
审稿时长
7.2 months
期刊介绍: The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.
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