Title :
Adaptive Rigidity-Based Formation Control for Multirobotic Vehicles With Dynamics
Author :
Xiaoyu Cai ; De Queiroz, Marcio
Author_Institution :
Equip. R&D, Baker Hughes Inc., Tomball, TX, USA
Abstract :
In this brief, we introduce a graph rigidity-based, adaptive formation control law for multiple robotic vehicles moving on the plane that explicitly accounts for the vehicle dynamics while allowing for parametric uncertainty. We consider a class of vehicles modeled by Euler-Lagrange-like equations of motion. The control is designed via backstepping, and exploits rigid graph theory and the structural properties of the system dynamics. A Lyapunov analysis shows that the desired formation is acquired asymptotically. A five-vehicle simulation is used to illustrate the proposed formation acquisition control.
Keywords :
Lyapunov methods; adaptive control; graph theory; mobile robots; multi-robot systems; robot dynamics; vehicle dynamics; Euler-Lagrange-like equations of motion; Lyapunov analysis; adaptive rigidity-based formation control; five-vehicle simulation; formation acquisition control; graph rigidity-based adaptive formation control law; multirobotic vehicle dynamics; parametric uncertainty; structural properties; system dynamics; Adaptation models; Collision avoidance; Mathematical model; Robot kinematics; Vehicle dynamics; Vehicles; Adaptive control; Lyapunov theory; formation control; multiple robotic vehicles; rigid graph; rigid graph.;
Journal_Title :
Control Systems Technology, IEEE Transactions on
DOI :
10.1109/TCST.2014.2321664