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author:

Wang, W. (Wang, W..) [1] (Scholars:王武) | Du, Z. (Du, Z..) [2] | Li, D. (Li, D..) [3] (Scholars:李东方) | Huang, J. (Huang, J..) [4] (Scholars:黄捷)

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Scopus

Abstract:

This paper proposes a leader–follower control method for multiple snake robot formation. Based on the simplified snake robot model, this work improves the traditional Serpenoid gait mode to a time-varying frequency form. Combined with the line-of-sight (LOS) method, a snake robot trajectory tracking controller is designed to enable the leader to track the desired trajectory at the ideal velocity. Then, the leader–follower following error system of a snake robot formation is established. In this framework, the follower can maintain a preset geometric position relationship with the leader to ensure the fast convergence of the formation location. Lyapunov's theory proves the stability of a snake robot formation error. Simulation and experimental results show that this strategy has the advantages of faster convergence speed and higher tracking accuracy than other current methods. © 2024

Keyword:

Formation control Leader–follower Snake robot Trajectory tracking

Community:

  • [ 1 ] [Wang W.]College of Electrical Engineering and Automation, Fuzhou University, Fujian, Fuzhou, 350108, China
  • [ 2 ] [Wang W.]5G+ Industrial Internet Institute, Fuzhou University, Fujian, Fuzhou, 350108, China
  • [ 3 ] [Du Z.]College of Electrical Engineering and Automation, Fuzhou University, Fujian, Fuzhou, 350108, China
  • [ 4 ] [Du Z.]5G+ Industrial Internet Institute, Fuzhou University, Fujian, Fuzhou, 350108, China
  • [ 5 ] [Li D.]College of Electrical Engineering and Automation, Fuzhou University, Fujian, Fuzhou, 350108, China
  • [ 6 ] [Li D.]5G+ Industrial Internet Institute, Fuzhou University, Fujian, Fuzhou, 350108, China
  • [ 7 ] [Huang J.]College of Electrical Engineering and Automation, Fuzhou University, Fujian, Fuzhou, 350108, China
  • [ 8 ] [Huang J.]5G+ Industrial Internet Institute, Fuzhou University, Fujian, Fuzhou, 350108, China

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Source :

ISA Transactions

ISSN: 0019-0578

Year: 2024

Volume: 156

Page: 609-619

6 . 3 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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