考虑参数不确定性和外部干扰的平面柔性关节机器人分数阶滑模控制

Q3 Engineering
N. Hiền, Dang Danh Hoang, Tran Xuan Minh
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引用次数: 1

摘要

对欠驱动的平面柔性关节二自由度系统进行了建模和控制。因此,如何获得驱动关节和欠驱动关节的稳定性是控制系统面临的挑战。在传统的滑模控制方法中,滑动面通常是基于状态变量的整阶微分来表示的。首先给出了分数阶滑模控制算法,然后利用分数阶微积分设计了滑模控制的滑动面。E,使用状态变量的分数阶微分。因此,控制输出中包含了加速角偏差变化率的分数维,这意味着FOSMC的控制输出对角偏差变化率敏感,为系统提供了及时的控制输出。在此基础上,提出了基于Lyapunov理论和分数阶微积分的FOSMC,以实现机器人两个关节的全局稳定。通过MATLAB/SIMULINK仿真验证了该方法的有效性和可行性,该机器人模型考虑了参数不确定性和外部干扰。
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 Sliding Mode Control for Planar Flexible-Joint Robot 2-DOF Considering Parametric Uncertainty and External Disturbance
—This paper presents modelling and control for planar flexible-joint 2-DOF, an underactuated system. Thus designing to obtain stability of actuated joints and underactuated is a challenge for a control system. In the conventional sliding mode control method, the sliding surface is normally expressed based on the integer-order differentiation of the state variables. In the study, fractional order sliding mode control (FOSMC) algorithm is given, and then the sliding surface is designed by the fractional-order calculus,i.e, using fractional-order differentiation of the state variables. Thus, the fractional dimension accelerating the change rate of angle deviation is contained in the control output, which means that the control output of the FOSMC is sensitive to the change rate of angle deviation and provides a prompt control output for the system. From which, FOSMC based on Lyapunov theory and fractional calculus is proposed for the robot to achieve the global stability of two joints. The effectiveness and feasibility of the proposed method are demonstrated by MATLAB/SIMULINK simulation that the robot model considers parametric uncertainty and external disturbance.
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来源期刊
CiteScore
2.80
自引率
0.00%
发文量
25
期刊介绍: International Journal of Mechanical Engineering and Robotics Research. IJMERR is a scholarly peer-reviewed international scientific journal published bimonthly, focusing on theories, systems, methods, algorithms and applications in mechanical engineering and robotics. It provides a high profile, leading edge forum for academic researchers, industrial professionals, engineers, consultants, managers, educators and policy makers working in the field to contribute and disseminate innovative new work on Mechanical Engineering and Robotics Research.
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