2005
DOI: 10.3182/20050703-6-cz-1902.00787
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Nonlinear Predictive Control of a Solar Plant Based on Reduced Complexity Models

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 toanonlinearitymeasure.

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Cited by 6 publications
(1 citation statement)
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“…A successful application, for a distributed uncertain solar power plant, where NMPC was combined with Feedback Linearizing is presented in [18] and with Lyapunov Adaptation in [15]. A wide bibliography on water distribution in open canals control is available.…”
Section: Introductionmentioning
confidence: 98%
“…A successful application, for a distributed uncertain solar power plant, where NMPC was combined with Feedback Linearizing is presented in [18] and with Lyapunov Adaptation in [15]. A wide bibliography on water distribution in open canals control is available.…”
Section: Introductionmentioning
confidence: 98%