Intelligent predictive control with locally linear based model identification and evolutionary programming optimization with application to fossil power plants

Authors:
Mahdi Jalili-Kharaajoo
Affiliations:
Young Researchers Club, Islamic Azad University, Tehran, Iran
Venue:
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
Year:
2005

Citing 5
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Abstract

In this paper, an intelligent predictive control algorithm based on Locally Linear Model Tree (LOLIMOT) is implemented to control a fossil fuel power unit. 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.