Modeling and Adaptive Neural Network Control for a Soft Robotic Arm With Prescribed Motion Constraints

doi:10.1109/JAS.2023.123213

CASIA OpenIR > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	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
Source Publication	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2023
Volume	10 Issue:2 Pages:501-511
Abstract	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.
Keyword	Adaptive control cosserat theory prescribed motion constraints soft robotic arm
DOI	10.1109/JAS.2023.123213
Citation statistics
Document Type	期刊论文
Identifier	http://ir.ia.ac.cn/handle/173211/50862
Collection	学术期刊_IEEE/CAA Journal of Automatica Sinica
Recommended Citation 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.

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