New Adaptive Sliding Mode for Unperturbed Forearm and Wrist Rehabilitation Robot

B. Brahmi, Ibrahim El Bojairami, T. Ahmed, M. Rahman, Asif Al Zubayer Swapnil, Javier Dario Sanjuan De Caro
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引用次数: 2

Abstract

The paper put forth presents the design and validation of a novel adaptive, variable gain, sliding mode control (SMC) reaching law, for the purpose of controlling unperturbed nonlinear systems. The novelty of this law stems from its capability to overcome the main limitations involved with conventional SMCs. In contrast to existing reaching laws, the presented law is potentially able to achieve high system performance, reduce the chattering problem significantly, and ensure fast convergence of system trajectories to equilibrium. The designed law integrates the features of both, the exponential reaching law (ERL) and the power rate reaching law (PRL), meanwhile, it overcomes their limitations. Simulation and comparison case studies against ERL and PRL are also carried out with Forearm and Wrist Rehabilitation Robot to validate the effectiveness and advantages of the proposed reaching law scheme (Proposed RL).
一种无摄动前臂和手腕康复机器人的自适应滑模
本文提出了一种新的自适应变增益滑模控制(SMC)趋近律的设计和验证,用于控制无摄动非线性系统。这一法律的新颖之处在于它能够克服传统中型管理公司所涉及的主要限制。与现有的趋近律相比,所提出的趋近律有可能实现较高的系统性能,显著减少抖振问题,并确保系统轨迹快速收敛到平衡状态。该律综合了指数趋近律(ERL)和功率趋近律(PRL)的特点,克服了它们的局限性。以前臂和手腕康复机器人为例,对ERL和PRL进行了仿真和对比研究,以验证所提出的到达律方案(proposed RL)的有效性和优势。
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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