International Journal of Control, Automation and Systems 2021; 19(5): 1740-1750
Published online February 18, 2021
https://doi.org/10.1007/s12555-020-0274-3
© The International Journal of Control, Automation, and Systems
This paper studies the problem of controlling dynamic formations of mobile agents governed by EulerLagrange dynamics. Here a formation is said to be dynamic if as time evolves, the desired formation undergoes translation, scaling and rotation. First, a constant-gain formation control algorithm is designed such that all agents can converge to the desired dynamic formation, in which the graphic information is needed for the selection of constant gains. Then, another fully distributed formation control algorithm is further proposed by employing variablegain control techniques, which enables each agent to be independent of the knowledge of the overall interaction graph needed otherwise in the control gain. Instead of moving with a desired translational velocity, a centroid-tracking formation control algorithm is also proposed such that the centroid of the formation tracks a desired trajectory. The parametric uncertainties are taken into consideration in the proposed formation control algorithms. Finally, simulation examples are provided to validate the effectiveness of the proposed control algorithms.
Keywords Euler-Lagrange system, formation control, mobile robots, multi-agent systems, multi-robot systems.
International Journal of Control, Automation and Systems 2021; 19(5): 1740-1750
Published online May 1, 2021 https://doi.org/10.1007/s12555-020-0274-3
Copyright © The International Journal of Control, Automation, and Systems.
Liangming Chen, Qingkai Yang, Chuanjiang Li, and Guangfu Ma
Harbin Institute of Technology
This paper studies the problem of controlling dynamic formations of mobile agents governed by EulerLagrange dynamics. Here a formation is said to be dynamic if as time evolves, the desired formation undergoes translation, scaling and rotation. First, a constant-gain formation control algorithm is designed such that all agents can converge to the desired dynamic formation, in which the graphic information is needed for the selection of constant gains. Then, another fully distributed formation control algorithm is further proposed by employing variablegain control techniques, which enables each agent to be independent of the knowledge of the overall interaction graph needed otherwise in the control gain. Instead of moving with a desired translational velocity, a centroid-tracking formation control algorithm is also proposed such that the centroid of the formation tracks a desired trajectory. The parametric uncertainties are taken into consideration in the proposed formation control algorithms. Finally, simulation examples are provided to validate the effectiveness of the proposed control algorithms.
Keywords: Euler-Lagrange system, formation control, mobile robots, multi-agent systems, multi-robot systems.
Vol. 22, No. 12, pp. 3545~3811
Jing Liu*, Zhen Li, Jia-Bao Liu, and Jian-an Fang
International Journal of Control, Automation, and Systems 2024; 22(4): 1138-1149Jing Liu, Jian-an Fang*, Zhen Li, and Guang He
International Journal of Control, Automation and Systems 2019; 17(6): 1494-1506Yeong-Hwa Chang*, Chun-I Wu, and Hung-Wei Lin
International Journal of Control, Automation and Systems 2018; 16(5): 2114-2124