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Distributed Fault Detection and Isolation for Flocking in a Multi-robot System with Imperfect Communication

Shiliang Shao, Ting Wang, Yao Chen, Xiaofan Li

Year
2014
Citations
17
Access
Open access

Abstract

In this paper, we focus on distributed fault detection and isolation (FDI) for a multi-robot system where multiple robots execute a flocking task. Firstly, we propose a fault detection method based on the local-information-exchange and sensor-measurement technologies to cover cases of both perfect communication and imperfect communication. The two detection technologies can be adaptively selected according to the packet loss rate (PLR). Secondly, we design a fault isolation method, considering a situation in which faulty robots still influence the behaviours of other robots. Finally, a complete FDI scheme, based on the proposed detection and isolation methods, is simulated in various scenarios. The results demonstrate that our FDI scheme is effective.

Keywords

Computer scienceFlocking (texture)Fault detection and isolationRobotIsolation (microbiology)Distributed computingImperfectNetwork packetReal-time computingInformation exchange

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