DocumentCode
2781831
Title
Centrifugal compressor identification using LOLIMOT
Author
Daroogheh, Najmeh
Author_Institution
Dept. of Instrum. & Maintenance, Khorasan Petrochem. Co., Iran
fYear
2009
fDate
17-19 June 2009
Firstpage
771
Lastpage
774
Abstract
In this paper, the dynamics of a nonlinear centrifugal compressor which is used in compression of natural gas process, is identified using locally linear model tree (LOLIMOT) algorithm. Real data were collected from the performance maps of the system when it was under different operating conditions and these data are used in training and validation of the developed neuro-fuzzy model.
Keywords
compressors; fuzzy neural nets; natural gas technology; neurocontrollers; nonlinear control systems; trees (mathematics); centrifugal compressor identification; locally linear model tree algorithm; natural gas process; neuro-fuzzy model; nonlinear centrifugal compressor dynamics; Control systems; Electronic mail; Gaussian processes; Instruments; Natural gas; Neurons; Nonlinear dynamical systems; Petrochemicals; Surges; Thermodynamics; Centrifugal Compressor; Identification; LOLIMOT; Neuro-fuzzy models; Nonlinear; Performance maps;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5191867
Filename
5191867
Link To Document