Nonlinear model predictive control of a laboratory gas turbine installation

B.G. Vroemen, H.A. Essen, van, A.A. Steenhoven, van, J.J. Kok

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationInternational gas turbine and aeroengine congress and exhibition : Stockholm, Sweden, June 2-5, 1998
Place of PublicationNew York
PublisherAmerican Society of Mechanical Engineers
Number of pages8
Volume5
ISBN (Electronic)9780791878668
DOIs
Publication statusPublished - 1998
EventASME 1998 International Gas Turbine and Aeroengine Congress and Exhibition, GT 1998 - Stockholm, Sweden
Duration: 2 Jun 19985 Jun 1998

Publication series

NameASME papers
Volume98-GT-100
ISSN (Print)0402-1215

Conference

ConferenceASME 1998 International Gas Turbine and Aeroengine Congress and Exhibition, GT 1998
CountrySweden
CityStockholm
Period2/06/985/06/98

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    Vroemen, B. G., Essen, van, H. A., Steenhoven, van, A. A., & Kok, J. J. (1998). Nonlinear model predictive control of a laboratory gas turbine installation. In International gas turbine and aeroengine congress and exhibition : Stockholm, Sweden, June 2-5, 1998 (Vol. 5). (ASME papers; Vol. 98-GT-100). American Society of Mechanical Engineers. https://doi.org/10.1115/98-GT-100