基于新趋近律的机器人无模型滑模预定性能控制

IF 2.3 4区 计算机科学 Q2 Computer Science
Fuwei Deng, Qu Wen, L. Yang
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引用次数: 0

摘要

提出了一种机器人机械手的无模型滑模规定性能控制方法。为了加快误差收敛速度,降低实时控制转矩,该控制方法采用了误差驱动的非奇异快速终端滑模。此外,还设计了一种改进的幂趋近律,与传统幂趋近律相比,它能提供更好的抖振消除性能。为了解决控制器性能高度依赖于机器人模型精度的问题,引入了一种无模型控制思想,建立了超局部模型,并利用时延估计来逼近超局部模型的未知部分。考虑到瞬态性能是影响使用安全性和系统稳定性的重要因素,引入规定性能控制技术,将状态误差限制在规定区域内。根据李雅普诺夫稳定性定理,实现了整个系统的闭环稳定性证明。通过数值仿真验证了该控制器与其他控制器相比的优越性和可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model-free sliding mode prescribed performance control of robotic manipulator based on new reaching law
The article proposes a model-free sliding mode prescribed performance control method for robotic manipulator. For accelerating the errors converging rate as well as bringing down the real-time control torque, an error-driven nonsingular fast terminal sliding mode is employed in this control method. Besides, a modified power reaching law is newly designed, which is able to offer better chattering elimination performance than traditional power reaching law. To solve the problem that the controller’s performance highly relies on the accuracy of robotic model, a model-free control idea is introduced where an ultra-local model is established and the estimation of time delay is used to approximate the unknown part of the ultra-local model. Considering the transient performance is a significant element that effects the using security and system stability, the technique of prescribed performance control is introduced to limit the state errors in a prescribed region. The closed-loop stability proof of the whole system is achieved according to Lyapunov’s stability theorem. The proposed controller’s superiority and feasibility compared with other controllers are demonstrated by numerical simulations.
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来源期刊
CiteScore
6.50
自引率
0.00%
发文量
65
审稿时长
6 months
期刊介绍: International Journal of Advanced Robotic Systems (IJARS) is a JCR ranked, peer-reviewed open access journal covering the full spectrum of robotics research. The journal is addressed to both practicing professionals and researchers in the field of robotics and its specialty areas. IJARS features fourteen topic areas each headed by a Topic Editor-in-Chief, integrating all aspects of research in robotics under the journal''s domain.
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