Hybrid Consensus-Based Control of Nonholonomic Mobile Robot Formation
Loading...

Date
2017
Authors
Guzey, Haci Mehmet
Dierks, T.
Jagannathan, S.
Acar, L.
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
This paper addresses the hybrid consensus-based formation keeping problem for nonholonomic mobile robots in the presence of a novel time-varying, composite, nonlinear velocity-tracking error system. First, continuous-time regulation and consensus-based formation controllers are developed for a group of wheeled mobile robots. These controllers are then used to create a hybrid automaton, which drives the robots to their goal positions while maintaining a specified formation.In order to avoid the hard switches between regulation and formation keeping controllers, a novel blended velocity tracking error approach is proposed in this work to create nonlinear, time-varying velocity error dynamics. Therefore, the hybrid controller consists of two discrete modes, each with continuous dynamics, and the novel blended velocity tracking error approach provides a smooth transition between each mode. The controller in the regulation mode drives the robot to a goal position while the formation keeping controller ensures that the robots achieve a specified geometric formation prior to reaching their goal-position. Time-varying Lyapunov functions are used to rigorously demonstrate that the formation errors converge to a small bounded region around the origin and the size of the bound can be adjusted by using the switching conditions. Convergence to goal position while in formation is also demonstrated in the same Lyapunov analysis illustrating that the robots are converging to their goal positions while operating in both regulation and formation keeping mode. Simulation results verify the theoretical conjectures.
Description
Guzey, Haci Mehmet/0000-0002-2215-9536
ORCID
Keywords
Nonholonomic Mobile Robots, Consensus, Formation Control, Hybrid Automata, Time-Varying Lyapunov Methods
Fields of Science
0209 industrial biotechnology, 02 engineering and technology
Citation
WoS Q
Q3
Scopus Q
Q2

OpenCitations Citation Count
18
Source
Journal of Intelligent & Robotic Systems
Volume
88
Issue
1
Start Page
181
End Page
200
PlumX Metrics
Citations
CrossRef : 18
Scopus : 23
Captures
Mendeley Readers : 19
SCOPUS™ Citations
23
checked on Apr 12, 2026
Web of Science™ Citations
15
checked on Apr 12, 2026
Page Views
1
checked on Apr 12, 2026
Google Scholar™


