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author:

Li, Dongfang (Li, Dongfang.) [1] | Zhang, Binxin (Zhang, Binxin.) [2] | Law, Rob (Law, Rob.) [3] | Wu, Edmond Q. (Wu, Edmond Q..) [4] | Xu, Xin (Xu, Xin.) [5]

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EI

Abstract:

This article reports a novel path-following method based on error constraints to fulfill formation control with the anti-disturbance for multisnake robots. A synchronized line-of-sight guidance rule and a high-coupled dynamic frequency compensator are designed to revise the movement speed of each robot, ensuring position consistency among formation members. The equivalent principle of the barrier function restricts the state errors within a set range, eliminating the singularity of virtual variables and enhancing the steady-state performance of path following. Moreover, this article predicts the model uncertainty and external disturbances to precompensate for the joint offset and torque input of the robot. The method further improves the convergence rates and robustness of the following errors. Barrier Lyapunov theory proves the uniform ultimate boundedness of the proposed method. Simulation and experimental data indicate that the control strategy reduces oscillations of errors before convergence and achieves fast and smooth formation following effect. © 1982-2012 IEEE.

Keyword:

Errors Robots Uncertainty analysis

Community:

  • [ 1 ] [Li, Dongfang]Fuzhou University, Fujian; 350108, China
  • [ 2 ] [Zhang, Binxin]Fuzhou University, Fujian; 350108, China
  • [ 3 ] [Law, Rob]University of Macau, Macao; 999078, China
  • [ 4 ] [Wu, Edmond Q.]Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Shanghai; 200240, China
  • [ 5 ] [Xu, Xin]National University of Defense Technology, College of Mechatronics and Automation, Changsha; 410073, China

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Source :

IEEE Transactions on Industrial Electronics

ISSN: 0278-0046

Year: 2024

Issue: 5

Volume: 71

Page: 4987-4998

7 . 5 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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