Fuzzy Predictive Control Strategy for a Distributed Solar Collector Plant

Author

Ponce, C. ; Saez, Doris ; Nunez, A.

Author_Institution

Electr. Eng. Dept., Univ. de Chile, Santiago, Chile

Volume

12

Issue

4

fYear

2014

fDate

Jun-14

Firstpage

626

Lastpage

633

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.

Keywords

control nonlinearities; control system synthesis; fuzzy control; nonlinear control systems; power generation control; predictive control; solar absorber-convertors; solar power stations; DSC plant; Takagi-and-Sugeno fuzzy model; distributed solar collector plant; fuzzy predictive controller design; nonlinear behavior characterization; nonlinear behavior prediction; process nonlinearities; Abstracts; Adaptation models; Electrical engineering; Predictive control; Predictive models; Simulation; Tin; Distributed Solar Collector; Fuzzy modeling; Predictive control; Solar power plant;

fLanguage

English

Journal_Title

Latin America Transactions, IEEE (Revista IEEE America Latina)

Publisher

ieee

ISSN

1548-0992

Type

jour

DOI

10.1109/TLA.2014.6868864

Filename

6868864