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Design of Non-linear Supervisory Controllers for Thermal Power Plants

The optimisation at supervisory level of thermal power plant controls is investigated. The design of the predictive supervisory controllers based on linear models and fuzzy models is described. The proposed controllers optimise an objective function in order to determine the set-points for a given regulatory level. The objective function includes both an economic criterion and a regulatory criterion. The proposed supervisory controllers are applied to the boiler and the gas turbine of a thermal power plant.

Type of Seminar:
Public Seminar
Ass. Prof. Doris Sez H.
Electrical Engineering Department, Universidad de Chile
Feb 18, 2004   17:15

ETH Zentrum, Physikstr. 3, Building ETL , Room K25
Contact Person:

Prof. M. Morari
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Biographical Sketch:
Dr. Doris Sez is currently Assistant Professor at the Electrical Engineering Department of University of Chile. She holds an Electrical Engineer Degree, a Master and a Ph. D. on Electrical Engineering from Catholic University of Chile. Her research interests are artificial intelligence (fuzzy systems and neural networks) and control of power generation plants.