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.
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Jalili-Kharaajoo, M. (2005). Intelligent Predictive Control with Locally Linear Based Model Identification and Evolutionary Programming Optimization with Application to Fossil Power Plants. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424758_107
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DOI: https://doi.org/10.1007/11424758_107
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25860-5
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