A novel ANFIS controller for maximum power point tracking in photovoltaic systems

被引：0

作者：

Khaehintung, N ^{[1
]}

Sirisuk, P ^{[1
]}

Kurutach, W ^{[1
]}

机构：

[1] Mahanakorn Univ Technol, Dept Control & Instrumentat Engn, Bangkok 10530, Thailand

来源：

PEDS 2003 : FIFTH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND DRIVE SYSTEMS, VOLS 1 AND 2, PROCEEDINGS | 2003年

关键词：

ANFIS; photovoltaic; solar cells;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents the design of a controller for Maximum Power Point Tracking (MPPT) of a photovoltaic system. The proposed controller relies upon an Adaptive Neuro-Fuzzy Inference System (ANFIS) which is designed as a combination of the concepts of Sugeno fuzzy model and neural network. The controller employs the ANFIS of five layers with nine fuzzy rules. Simulations with practical parameters show that our proposed MPPT using ANFIS outperform the conventional MPPT controller terms of tracking speed and accuracy. Moreover, the system is implemented on Pentium PC, from which preliminary experimental results are presented.

引用

页码：833 / 836

页数：4

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