Universal nonlinear disturbance observer for robotic manipulators

IF 2.3 4区 计算机科学 Q2 Computer Science
Feilong Zhang, Xin Zhang, Qingxin Li, Hualiang Zhang
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引用次数: 0

Abstract

Dynamic uncertainties and unknown disturbances will degrade the tracking performance of robots. When using a disturber observer-based controller, the key to effectively compensate for these uncertainties is to measure or estimate as accurately as possible any disturbance. To relax restrictions on the design of the current nonlinear disturbance observer for the robot, a universal nonlinear disturbance observer is proposed for higher estimation performance. The stability of the proposed universal nonlinear disturbance observer is theoretically analyzed and the boundaries of estimation error are proven according to the vector differential equation. Finally, the proposed universal nonlinear disturbance observer is evaluated via simulation by comparison to the nonlinear disturbance observer. The result shows a faster estimation speed and a higher estimation accuracy of the universal nonlinear disturbance observer.
机器人机械臂的通用非线性扰动观测器
动态不确定性和未知扰动会降低机器人的跟踪性能。当使用基于扰动观测器的控制器时,有效补偿这些不确定性的关键是尽可能准确地测量或估计任何扰动。为了放松对机器人当前非线性扰动观测器设计的限制,为了获得更高的估计性能,提出了一种通用的非线性扰动观测器。从理论上分析了所提出的通用非线性扰动观测器的稳定性,并根据矢量微分方程证明了估计误差的边界。最后,通过与非线性扰动观测器的比较,对所提出的通用非线性扰动观测器进行了仿真评价。结果表明,通用非线性扰动观测器具有较快的估计速度和较高的估计精度。
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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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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