Estrategia de Control Predictivo Difuso para una Planta de Colectores Solares Distribuidos (Fuzzy Predictive Control Strategy for a Distributed Solar Collector Plant)

Carolina Ponce (cponce@userena.cl)1, Doris Saez (dsaez@ing.uchile.cl)1, Alfredo Nunez (a.a.nunezvicencio@tudelft.nl)2


1Departamento de Ingeniería Eléctrica, Universidad de Chile
2Delft University of Technology

This paper appears in: Revista IEEE América Latina

Publication Date: June 2014
Volume: 12,   Issue: 4 
ISSN: 1548-0992


Abstract:
This paper presents the design and evaluation of a fuzzy predictive controller for a distributed solar collector (DSC) plant. A Takagi and Sugeno (T&S) fuzzy model of the DSC plant is identified and used for characterizing and predicting the nonlinear behavior of the system. The proposed fuzzy predictive control strategy is compared with conventional control techniques. Simulation results indicate that the fuzzy predictive controller captures adequately the nonlinearities of the process, which in turn provides a promising control approach to improve the performance of the DSC plant.

Index Terms:
Solar power plant, Distributed Solar Collector, Predictive control, Fuzzy modeling   


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