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Modeling and Adaptive Neural Network Control for a Soft Robotic Arm With Prescribed Motion Constraints | |
Yan Yang; Jiangtao Han; Zhijie Liu; Zhijia Zhao; Keum-Shik Hong | |
发表期刊 | IEEE/CAA Journal of Automatica Sinica
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ISSN | 2329-9266 |
2023 | |
卷号 | 10期号:2页码:501-511 |
摘要 | This paper presents a dynamic model and performance constraint control of a line-driven soft robotic arm. The dynamics model of the soft robotic arm is established by combining the screw theory and the Cosserat theory. The unmodeled dynamics of the system are considered, and an adaptive neural network controller is designed using the backstepping method and radial basis function neural network. The stability of the closed-loop system and the boundedness of the tracking error are verified using Lyapunov theory. The simulation results show that our approach is a good solution to the motion constraint problem of the line-driven soft robotic arm. |
关键词 | Adaptive control cosserat theory prescribed motion constraints soft robotic arm |
DOI | 10.1109/JAS.2023.123213 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/50862 |
专题 | 学术期刊_IEEE/CAA Journal of Automatica Sinica |
推荐引用方式 GB/T 7714 | Yan Yang,Jiangtao Han,Zhijie Liu,et al. Modeling and Adaptive Neural Network Control for a Soft Robotic Arm With Prescribed Motion Constraints[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(2):501-511. |
APA | Yan Yang,Jiangtao Han,Zhijie Liu,Zhijia Zhao,&Keum-Shik Hong.(2023).Modeling and Adaptive Neural Network Control for a Soft Robotic Arm With Prescribed Motion Constraints.IEEE/CAA Journal of Automatica Sinica,10(2),501-511. |
MLA | Yan Yang,et al."Modeling and Adaptive Neural Network Control for a Soft Robotic Arm With Prescribed Motion Constraints".IEEE/CAA Journal of Automatica Sinica 10.2(2023):501-511. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
JAS-2022-0807.pdf(3896KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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