Fuzzy predictive control strategy for a distributed solar collector plant
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. © 2012 IEEE.
Año de publicación:
2014
Keywords:
- Distributed Solar Collector
- solar power plant
- Pbkp_redictive control
- fuzzy modeling
Fuente:

Tipo de documento:
Article
Estado:
Acceso restringido
Áreas de conocimiento:
- Sistema de control
- Energía renovable
Áreas temáticas de Dewey:
- Física aplicada
- Otras ramas de la ingeniería

Objetivos de Desarrollo Sostenible:
- ODS 7: Energía asequible y no contaminante
- ODS 13: Acción por el clima
- ODS 9: Industria, innovación e infraestructura
