DocumentCode :
2272984
Title :
Dynamic model identification of gas turbines
Author :
Arkov, V.Y. ; Kulikov, G.G. ; Breikin, T.V. ; Fleming, P.J.
fYear :
1998
fDate :
1-4 Sep 1998
Firstpage :
1367
Abstract :
In this paper the recorded data from normal engine operation have been exploited for dynamic model identification. This would usually require test inputs to be applied to excite sufficiently the engine dynamics. However, in this work a novel approach is adopted utilising existing random disturbances created by the controller and operating environment during normal engine operation as the test source. A key advantage of this passive identification approach is that special engine test-runs and monitoring equipment are not required. An optimization technique of spectral analysis is derived providing high accuracy of identification. Optimal smoothing provides the compromise between the bias and variance of spectral estimates. An example of the turbo-fan engine model identification is considered demonstrating the viability of the proposed method
fLanguage :
English
Publisher :
iet
Conference_Titel :
Control '98. UKACC International Conference on (Conf. Publ. No. 455)
Conference_Location :
Swansea
ISSN :
0537-9989
Print_ISBN :
0-85296-708-X
Type :
conf
DOI :
10.1049/cp:19980429
Filename :
726119
Link To Document :
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