DocumentCode :
1920795
Title :
Predictive control of a fossil power plant based on locally linear model tree (LOLIMOT)
Author :
Jalili-Kharaajoo, Mahdi ; Ranji, Reza ; Bagherzadeh, Hassan
Author_Institution :
Control & Intelligent Process. Center of Excellence, Tehran Univ., Iran
Volume :
1
fYear :
2003
fDate :
23-25 June 2003
Firstpage :
633
Abstract :
A predictive control algorithm based on locally linear model tree model (LOLIMOT) is implemented to control a fossil fuel power unite. The controller is a non-model based system that uses a LOLIMOT identifier to predict the response of the plant in a future time interval. An evolutionary programming (EP) approach, optimizes the identifier-predicted outputs and determines input sequence in a time window. This intelligent system provides a predictive control of multi-input multi-output nonlinear systems with slow time variation.
Keywords :
MIMO systems; evolutionary computation; nonlinear systems; power station control; predictive control; thermal power stations; MIMO systems; evolutionary programming; fossil fuel power unite control; fossil power plant; intelligent system; locally linear model tree; nonlinear systems; nonmodel based system; predicted identifier outputs; predictive control algorithm; Control systems; Fossil fuels; Genetic programming; Intelligent systems; Nonlinear systems; Power generation; Power system modeling; Prediction algorithms; Predictive control; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 2003. CCA 2003. Proceedings of 2003 IEEE Conference on
Print_ISBN :
0-7803-7729-X
Type :
conf
DOI :
10.1109/CCA.2003.1223511
Filename :
1223511
Link To Document :
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