使用鲁棒精确微分器的机器人机械手分数阶固定时间滑动模式控制

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Xinsheng Wang, Bin Jiang, Tong Yao, Huaqiang Zhang
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引用次数: 0

摘要

本文介绍了外骨骼机器人(ER)的稳健位置跟踪控制结构。开放环境和身体灵活性是外骨骼机器人控制系统设计的主要挑战。首先,本文针对具有不确定性的机器人操纵器提出了分数阶非奇异终端滑动模态(FONTSM)控制器,通过时延估计(TDE)计算整块未知动态。其次,采用鲁棒精确微分器(RED)作为无速度传感器机器人系统的输出反馈观测器。第三,证明了 FONTSM 控制系统的稳定性。实验证明,系统误差能在固定时间内沿滑动模态面移动到指定值,并能在有限时间后到达滑动模态面。最后,在一个 2-DOF 机械手上进行的仿真显示了固定时间控制策略的有效性。当施加组合三角函数干扰时,基于输出反馈的无模型控制器能在大约 1 秒内将关节角度误差减小到 1%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fractional-order fixed-time sliding mode control of robotic manipulators with robust exact differentiator
This paper introduces a robust position tracking control structure of exoskeleton robots (ERs). An open environment and body flexibility are the main challenges in ER control system design. First, a fractional-order nonsingular terminal sliding mode (FONTSM) controller is proposed for a robotic manipulator with uncertainty, where lumped unknown dynamics are computed by time-delay estimation (TDE). Secondly, a robust exact differentiator (RED) is employed as the output feedback observer for the velocity sensorless robotic system. Thirdly, the stability of the FONTSM control system is demonstrated. It is proved that the system error can move to the specified value along the sliding mode surface at a fixed time and can reach the sliding mode surface after a finite time. Finally, simulations on a 2-DOF robotic manipulator show the effectiveness of the fixed-time control strategies. When a combined trigonometric function disturbance is applied, the joint angle error is reduced to 1% by the model-free controller based on output feedback within approximately 1 s.
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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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