中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A New Noise-Tolerant Dual-Neural-Network Scheme for Robust Kinematic Control of Robotic Arms With Unknown Models

文献类型:期刊论文

作者Ning Tan; Peng Yu; Zhiyan Zhong; Fenglei Ni
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2022
卷号9期号:10页码:1778-1791
关键词Dual zeroing neural networks (ZNN) finite-time convergence model-free robot control robustness analysis
ISSN号2329-9266
DOI10.1109/JAS.2022.105869
英文摘要Taking advantage of their inherent dexterity, robotic arms are competent in completing many tasks efficiently. As a result of the modeling complexity and kinematic uncertainty of robotic arms, model-free control paradigm has been proposed and investigated extensively. However, robust model-free control of robotic arms in the presence of noise interference remains a problem worth studying. In this paper, we first propose a new kind of zeroing neural network (ZNN), i.e., integration-enhanced noise-tolerant ZNN (IENT-ZNN) with integration-enhanced noise-tolerant capability. Then, a unified dual IENT-ZNN scheme based on the proposed IENT-ZNN is presented for the kinematic control problem of both rigid-link and continuum robotic arms, which improves the performance of robotic arms with the disturbance of noise, without knowing the structural parameters of the robotic arms. The finite-time convergence and robustness of the proposed control scheme are proven by theoretical analysis. Finally, simulation studies and experimental demonstrations verify that the proposed control scheme is feasible in the kinematic control of different robotic arms and can achieve better results in terms of accuracy and robustness.
源URL[http://ir.ia.ac.cn/handle/173211/49708]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
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Ning Tan,Peng Yu,Zhiyan Zhong,et al. A New Noise-Tolerant Dual-Neural-Network Scheme for Robust Kinematic Control of Robotic Arms With Unknown Models[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(10):1778-1791.
APA Ning Tan,Peng Yu,Zhiyan Zhong,&Fenglei Ni.(2022).A New Noise-Tolerant Dual-Neural-Network Scheme for Robust Kinematic Control of Robotic Arms With Unknown Models.IEEE/CAA Journal of Automatica Sinica,9(10),1778-1791.
MLA Ning Tan,et al."A New Noise-Tolerant Dual-Neural-Network Scheme for Robust Kinematic Control of Robotic Arms With Unknown Models".IEEE/CAA Journal of Automatica Sinica 9.10(2022):1778-1791.

入库方式: OAI收割

来源:自动化研究所

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