Nonlinear predictive control of a solar plant based on reduced complexity models

J. M. Igreja, J. M. Lemos, R. N. Silva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

This paper is concerned with predictive controller design for the outlet oil temperature in distributed collector solar fields. The design method proposed combines feedback linearization cascade with an outer loop consisting of a predictive controller incorporating constraints. A relevant feature is the use of a reduced complexity model, selected according to a nonlinearity measure.

Original languageEnglish
Title of host publicationProceedings of the 16th IFAC World Congress, IFAC 2005
Pages789-794
Number of pages6
Volume16
Publication statusPublished - 1 Dec 2005
Event16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005 - Prague, Czech Republic
Duration: 3 Jul 20058 Jul 2005

Conference

Conference16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005
CountryCzech Republic
CityPrague
Period3/07/058/07/05

Keywords

  • Nonlinear systems
  • Nonlinearity measure
  • Predictive control
  • Process control
  • Reduced complexity models
  • Solar plants

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