DocumentCode
116269
Title
Distributed fault detection in interconnected nonlinear uncertain systems
Author
Khalili, Mohsen ; Xiaodong Zhang
Author_Institution
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
fYear
2014
fDate
15-17 Dec. 2014
Firstpage
6548
Lastpage
6553
Abstract
In this paper, a distributed fault detection method is developed for a class of interconnected nonlinear uncertain systems. The interconnection between neighboring subsystems is unknown, but assumed to be bounded by a function of system states, inputs and outputs. A fault detection component is designed for each subsystem in the interconnected system by utilizing local measurements and certain communicated information from neighboring fault detection components associated with subsystems that are directly interconnected to the particular subsystem under consideration. Under certain assumptions, adaptive thresholds for distributed fault detection in each subsystem are derived, ensuring robustness with respect to interconnections among subsystems and system modeling uncertainty. Moreover, the fault detectability condition is rigorously investigated, characterizing the class of faults in each subsystem that are detectable by the proposed method. A multimachine power system simulation example is used to illustrate the effectiveness of the method.
Keywords
control system synthesis; distributed control; fault diagnosis; interconnected systems; nonlinear control systems; uncertain systems; distributed fault detection method; fault detectability condition; fault detection component design; fault detection subsystem; interconnected nonlinear uncertain systems; multimachine power system simulation example; Circuit faults; Estimation error; Fault detection; Fault diagnosis; Integrated circuit interconnections; Uncertainty; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
978-1-4799-7746-8
Type
conf
DOI
10.1109/CDC.2014.7040416
Filename
7040416
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