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