Multiple Leader Candidate and Competitive Position Allocation for Robust Formation against Member Robot Faults

This paper proposes a Multiple Leader Candidate (MLC) structure and a Competitive Position Allocation (CPA) algorithm which can be applicable for various applications including environmental sensing. Unlike previous formation structures such as virtual-leader and actual-leader structures with positi...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2015-05, Vol.15 (5), p.10771-10790
Main Authors: Kwon, Ji-Wook, Kim, Jin Hyo, Seo, Jiwon
Format: Article
Language:English
Subjects:
Algorithms
Allocations
Candidates
Competition
Control algorithms
Elections
Faults
Feasibility
formation control, robust formation, multiple leader candidate structure, competitive position allocation algorithm
Formations
High performance systems
Multiple robots
Optimization
Robots
Sensors
Surveillance
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Summary:This paper proposes a Multiple Leader Candidate (MLC) structure and a Competitive Position Allocation (CPA) algorithm which can be applicable for various applications including environmental sensing. Unlike previous formation structures such as virtual-leader and actual-leader structures with position allocation including a rigid allocation and an optimization based allocation, the formation employing the proposed MLC structure and CPA algorithm is robust against the fault (or disappearance) of the member robots and reduces the entire cost. In the MLC structure, a leader of the entire system is chosen among leader candidate robots. The CPA algorithm is the decentralized position allocation algorithm that assigns the robots to the vertex of the formation via the competition of the adjacent robots. The numerical simulations and experimental results are included to show the feasibility and the performance of the multiple robot system employing the proposed MLC structure and the CPA algorithm.
ISSN:1424-8220
1424-8220
DOI:10.3390/s150510771