Fuzzy predictive control of a solar power plant

被引：44

作者：

Flores, A

Sáez, D

Araya, J

Berenguel, M

Cipriano, A

机构：

[1] Pontificia Univ Catolica Chile, Dept Ingn Elect, Santiago 22, Chile

[2] Univ Almeria, Dept Lenguajes & Computac, E-04120 Almeria, Spain

[3] Univ Chile, Fac Phys & Math Sci, Elect Engn Dept, Santiago, Chile

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2005年 / 13卷 / 01期

关键词：

fuzzy constraints; fuzzy goals; fuzzy optimization; predictive control; solar power plant;

D O I：

10.1109/TFUZZ.2004.839658

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents the application of fuzzy predictive control to a solar power plant. The proposed predictive controller uses fuzzy characterization of goals and constraints, based on the fuzzy optimization framework for multi-objective satisfaction problems. This approach enhances model based predictive control (MBPC) allowing the specification of more complex requirements. A brief description of the solar power plant and its simulator is given. Basic concepts of predictive control and fuzzy predictive control are introduced. Two fuzzy predictive controllers using different membership functions are designed for a solar power plant, and they are compared with a classical predictive controller. The simulation results show that the fuzzy MBPC formulation, based on a well proven successful algorithm, gives a greater flexibility to characterize the goals and constraints than classical control.

引用

页码：58 / 68

页数：11

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