Takagi-Sugeno fuzzy logic applied to a photovoltaic system for power maximization

被引：0

作者：

Cojocaru, Bogdan ^{[1
]}

Abbes, Dhaker ^{[1
]}

Aitouche, Abdel ^{[2
]}

Perdigao, Marina ^{[3
]}

Stefanoiu, Dan ^{[4
]}

机构：

[1] HEI, Lab L2EP, Lille, France

[2] HEI, CRISTAL Lab, Lille, France

[3] IT Coimbra, Inst Telecomunicacoes, Coimbra, Portugal

[4] Univ Politehn Bucuresti, Bucharest, Romania

来源：

2017 19TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'17 ECCE EUROPE) | 2017年

关键词：

Photovoltaic; Converter control; Fuzzy control; Non-linear control;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper deals with Takagi-Sugeno fuzzy logic applied to an autonomous photovoltaic system for power maximization. It includes a DC-DC buck converter state model connected between the PV panel and the load in order to maximize the output power. The TS fuzzy MPPT controller is compared to the classical P&O and fuzzy Mandani algorithms. Results show that: thanks to its capacity to transform the non-linear system in a set of local linear sub-systems, Takagi-Sugeno approach leads to better performances.

引用

页数：7

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