非线性不确定串联气动-人工肌肉(PAM)机器人系统的自适应模糊滑模控制实现

Cao Van Kien, T. T. Huan, Do Thanh Thai, H. Anh
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引用次数: 3

摘要

本文提出了一种先进的自适应模糊滑模控制方法(AAFSMC),该方法适用于高度非线性的2自由度串联PAM机器人的控制。基于李雅普诺夫稳定性原理,证明了新型AAFSMC控制下整体闭环串联PAM机器人系统的稳定收敛性。仿真结果表明,所提出的AAFSMC控制算法应用于二自由度非线性串联PAM机器人,与以往的SMC和模糊SMC方法相比,具有更好的性能和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of adaptive fuzzy sliding mode control for nonlinear uncertain serial pneumatic-artificial-muscle (PAM) robot system
This paper proposes a new advanced adaptive fuzzy sliding mode control (AAFSMC) approach and their suitability for use in the control of a highly nonlinear 2-dof serial PAM robot. Stability proof of the stable convergence of the overall closed-loop serial PAM robot system under novel AAFSMC control is demonstrated based on Lyapunov stability principle. Simulation results prove that the proposed AAFSMC control algorithm, applied to a two degree of freedom nonlinear serial PAM robot, are successfully designed and implemented with better performance and robustness in comparison with previous SMC and fuzzy SMC approaches.
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