Title :
Centrifugal compressor identification using LOLIMOT
Author :
Daroogheh, Najmeh
Author_Institution :
Dept. of Instrum. & Maintenance, Khorasan Petrochem. Co., Iran
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;
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
DOI :
10.1109/CCDC.2009.5191867
