Fixed-time terminal sliding mode control for uncertain robot manipulators

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2024-01-01 DOI:10.1016/j.isatra.2023.10.011
Liyin Zhang , Yuxin Su , Zeng Wang , Huan Wang
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Abstract

This paper proposes a fixed-time tracking control for robot manipulators in the presence of parametric uncertainties and disturbances. An auxiliary function is first proposed for constructing a fixed-time sliding manifold. Benefited from this fixed-time sliding manifold, a singularity-free robust control is proposed to evade the effects of algebraic loop problem of the commonly-used sliding mode controls (SMC). The key advantages of the proposed approach are: (i) exact fixed-time stability featuring the convergence time does not relate to the initial conditions and is acquired in advance; (ii) the singularity and algebraic loop problems are eliminated completely; (iii) a simple and intuitive control structure is used for easy implementation of trajectory tracking control for uncertain robot manipulators with faster transient and higher steady-state precision. Simulations and experimental comparisons validate the improved tracking performance of the proposed approach.

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不确定机器人的固定时间终端滑模控制。
本文提出了一种在存在参数不确定性和扰动的情况下机器人的固定时间跟踪控制。首次提出了构造固定时间滑动流形的辅助函数。利用这种固定时间滑动流形,提出了一种无奇异性的鲁棒控制,以避免常用滑模控制中代数环问题的影响。该方法的主要优点是:(i)以收敛时间为特征的精确固定时间稳定性与初始条件无关,并且是预先获得的;(ii)完全消除了奇异性和代数环问题;(iii)对于具有更快瞬态和更高稳态精度的不确定机器人,使用简单直观的控制结构来容易地实现轨迹跟踪控制。仿真和实验比较验证了该方法改进的跟踪性能。
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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