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Nonlinear Model Predictive Control of a Laboratory Gas Turbine Installation FREE

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

Eindhoven University of Technology, Eindhoven, The Netherlands

Paper No. 98-GT-100, pp. V005T15A008; 8 pages
doi:10.1115/98-GT-100
From:
  • ASME 1998 International Gas Turbine and Aeroengine Congress and Exhibition
  • Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education
  • Stockholm, Sweden, June 2–5, 1998
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-7866-8
  • Copyright © 1998 by ASME

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 © 1998 by ASME
This article is only available in the PDF format.

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