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RESEARCH PAPERS: Gas Turbines: Controls and Diagnostics

Nonlinear Model Predictive Control of a Laboratory Gas Turbine Installation

[+] Author and Article Information
B. G. Vroemen, H. A. van Essen, A. A. van Steenhoven, J. J. Kok

Eindhoven University of Technology, Department of Mechanical Engineering, P. O. Box 513, 5600 MB Eindhoven, The Netherlands

J. Eng. Gas Turbines Power 121(4), 629-634 (Oct 01, 1999) (6 pages) doi:10.1115/1.2818518 History: Received March 02, 1998; Revised March 23, 1999; Online December 03, 2007

Abstract

The feasibility of model predictive control (MPC) applied to a laboratory gas turbine installation is investigated. MPC explicitly incorporates (input and output) constraints in its optimizations, which explains the choice for this computationally demanding control strategy. Strong nonlinearities, displayed by the gas turbine installation, cannot always be handled adequately by standard linear MPC. Therefore, we resort to nonlinear methods, based on successive linearization and nonlinear prediction as well as the combination of these. We implement these methods, using a nonlinear model of the installation, and compare them to linear MPC. It is shown that controller performance can be improved, without increasing controller execution-time excessively.

Copyright © 1999 by The American Society of Mechanical Engineers
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