Brief Paper: Adaptive formation tracking control of electrically driven multiple mobile robots

S. J. Yoo, J. B. Park, Y. H. Choi

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

An adaptive formation control method is proposed for multiple uncertain non-holonomic mobile robots at the actuator dynamics level. All parameters of the robot kinematics and dynamics, and actuator dynamics are unknown. The virtual structure with path parameters and the dynamic surface design methodology are combined to design a simpler adaptive formation control scheme than the previous backstepping-based control system. Using the Lyapunov stability theorem, the authors present the adaptation laws for tuning all unknown parameters of multiple mobile robots regardless of considering path parameters in the reference trajectories. In addition, it is proved that all signals in the total closed-loop system are semi-globally uniformly bounded and all formation tracking errors and synchronisation errors of the path parameters converge to an adjustable neighbourhood of the origin. Finally, simulation results demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Pages (from-to)1489-1500
Number of pages12
JournalIET Control Theory and Applications
Volume4
Issue number8
DOIs
Publication statusPublished - 2010 Aug 1

Fingerprint

Formation Control
Tracking Control
Mobile Robot
Mobile robots
Adaptive Control
Path
Actuator
Actuators
Lyapunov Theorem
Backstepping
Nonholonomic
Lyapunov Stability
Stability Theorem
Closed loop systems
Unknown Parameters
Closed-loop System
Design Methodology
Kinematics
Tuning
Synchronization

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

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Brief Paper : Adaptive formation tracking control of electrically driven multiple mobile robots. / Yoo, S. J.; Park, J. B.; Choi, Y. H.

In: IET Control Theory and Applications, Vol. 4, No. 8, 01.08.2010, p. 1489-1500.

Research output: Contribution to journalArticle

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