Robust Adaptive Fractional-Order Backstepping Sliding Mode Control of Uncertain Continuum Robot

Yousef Farid, Abbas Ehsani-Seresht
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引用次数: 3

Abstract

Due to the complex and flexible structure of the continuum robots, previous works have been concentrated on the kinematic based analysis and control of these type of robots. In this study, for the first time, using the fractional calculations, the control of continuum manipulators with dynamic approach is presented. A fractional sliding surface with finite-time convergence property is designed. An adaptive fractional-order controller based on backstepping sliding mode approach is designed. The effects of parameter uncertainties are compensated using adaptive manner. Stability analysis is done using Lyapunov theorem, and adaptive tuning laws for upper bound parameters ensures the asymptotic stability of the robotic system. Numerical simulations demonstrated that our proposed control scheme is effective.
不确定连续体机器人的鲁棒自适应分数阶反步滑模控制
由于连续体机器人结构复杂、灵活,以往的研究主要集中在基于运动学的连续体机器人分析与控制上。本文首次采用分数阶计算方法,提出了连续统机械臂的动态控制方法。设计了具有有限时间收敛性的分数阶滑动曲面。设计了一种基于反步滑模方法的自适应分数阶控制器。采用自适应方法补偿了参数不确定性的影响。利用李雅普诺夫定理进行稳定性分析,并利用上界参数自适应整定律保证机器人系统的渐近稳定。数值仿真结果表明,所提出的控制方案是有效的。
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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