NDLI: Distributed fault identification and fault-tolerant control for multi-agent systems

Content Provider	IEEE Xplore Digital Library
Author	Zhi Feng Guoqiang Hu
Copyright Year	2014
Description	Author affiliation: Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore (Zhi Feng; Guoqiang Hu)
Abstract	This paper studies the consensus-tracking based distributed fault identification (DFI) and distributed fault-tolerant control (DFTC) problems for a multi-agent system modeling by a large-scale power generator network. The objective is to enable all the agents to coordinately detect and identify the faults without losing desirable system performance. First, for the distributed fault diagnosis part, a model-based distributed state observer (DSO) is designed to obtain the residual and then a nonlinear distributed fault estimator is developed to identify the faults. By exploiting the redundancies from the distributed fault diagnosis part, a novel distributed fault-tolerant control law is proposed to enable all the agents to achieve the control goal without losing the system performance while achieving fault identification. The corresponding sufficient conditions for both DFI and DFTC are obtained using graph theory and Lyapunov analysis theory. Practical power system simulation results are provided to illustrate the effectiveness of the proposed methods.
Starting Page	1476
Ending Page	1481
File Size	307591
Page Count	6
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6896846
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Fault diagnosis Fault tolerance Distributed fault tolerant control System performance Fault tolerant systems Power system dynamics Cooperative control Large-scale power networks Generators Multi-agent systems Lyapunov methods
Content Type	Text
Resource Type	Article

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