Nonlinear predictive control of a solar plant based on reduced complexity models
Authors: | Igreja José, INESC-ID/ISEL, Portugal Lemos João, INESC-ID/IST, Portugal Neves-Silva Rui, Univ Nova Lisboa, Portugal |
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Topic: | 2.3 Non-Linear Control Systems |
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Session: | Nonlinear Observers and Output Feedback |
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Keywords: | Process control, Predictive Control, Nonlinear Systems, Nonlinearity measure, Reduced Complexity Models, Solar plants. |
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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.