DocumentCode
2926983
Title
Genetic adaptive state estimation for a jet engine compressor
Author
Gremling, James R. ; Passino, Kevin M.
Author_Institution
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
fYear
1997
fDate
16-18 Jul 1997
Firstpage
131
Lastpage
136
Abstract
A genetic algorithm (GA) uses the principles of evolution, natural selection, and genetics to offer a method for parallel search of complex spaces. In this paper we develop a GA that can perform online adaptive state estimation. First, we show how to construct a genetic adaptive state estimator where a GA evolves the model in a state estimator in real time so that the state estimation error is driven to zero. Next, we show how to use a genetic adaptive state estimator for predicting when surge and stall occur in a nonlinear jet engine compressor model
Keywords
adaptive estimation; aerospace engines; aircraft; compressors; genetic algorithms; search problems; state estimation; adaptive state estimation; genetic algorithm; jet engine compressor; parallel search; Economic forecasting; Game theory; Genetic algorithms; Genetic engineering; Jet engines; Observers; Parameter estimation; Predictive models; State estimation; Surges;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1997. Proceedings of the 1997 IEEE International Symposium on
Conference_Location
Istanbul
ISSN
2158-9860
Print_ISBN
0-7803-4116-3
Type
conf
DOI
10.1109/ISIC.1997.626431
Filename
626431
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