DocumentCode :
188760
Title :
On solving periodic ℋ2-optimal fault detection and isolation problems
Author :
Varga, A.
Author_Institution :
Inst. of Syst. Dynamics & Control, German Aerosp. Center (DLR), Wessling, Germany
fYear :
2014
fDate :
24-27 June 2014
Firstpage :
1281
Lastpage :
1286
Abstract :
A lifting-free computational method is proposed to solve approximate fault detection and isolation problems for periodic systems using an ℋ2-optimal model matching approach. The synthesis procedure relies on two key computational procedures: a numerically reliable algorithm to determine least order annihilators of periodic systems to reduce the periodic ℋ2-optimal model matching problem to a simpler standard form and a recently developed algorithm to compute inner-outer factorizations of periodic systems which allows a further reduction to a ℋ2 minimal distance problem. If the resulting fault detection filter is not stable and/or not causal, then a final stabilization step is performed using periodic coprime factorization techniques. The overall computational algorithm has strongly coupled computational steps, where all available structural information at the end of each computational step are fully exploited in the subsequent computations.
Keywords :
H control; control system synthesis; fault diagnosis; periodic control; stability; time-varying systems; ℋ2 minimal distance problem; ℋ2-optimal model matching approach; fault detection filter; final stabilization step; inner-outer factorizations; lifting-free computational method; periodic ℋ2-optimal fault detection and isolation problems; periodic coprime factorization techniques; periodic system least order annihilators; structural information; synthesis procedure; Computational modeling; Detectors; Fault detection; Noise; Numerical models; Reliability; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2014 European
Conference_Location :
Strasbourg
Print_ISBN :
978-3-9524269-1-3
Type :
conf
DOI :
10.1109/ECC.2014.6862179
Filename :
6862179
Link To Document :
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