Modelling of Fuzzy Logic Controller for Variable-Step MPPT in Photovoltaic System

被引：0

作者：

Roy, C. P. ^{[1
]}

Vijaybhaskar, D. ^{[1
]}

Maity, T. ^{[1
]}

机构：

[1] Indian Sch Mines, Dept Elect Engn, Dhanbad 826004, Jharkhand, India

来源：

2013 IEEE 1ST INTERNATIONAL CONFERENCE ON CONDITION ASSESSMENT TECHNIQUES IN ELECTRICAL SYSTEMS (CATCON) | 2013年

关键词：

Maximum power point tracking; boost converter; perturb and observe; exponential approximation; fuzzy logic control; membership function; PERTURB;

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：

The output power of photovoltaic electrical systems is highly dynamic and non-linear in nature. In order to extract maximum power from such systems, maximum power point tracking (MPPT) technique is required. MPPT techniques with variable step-size of perturbation track the maximum power point (MPP) with more efficiency. In this paper, a model of a fuzzy logic controller (FLC) for determining the step-size of perturbation in duty-cycle of a photovoltaic electrical system to track MPP is presented and its result is compared with a classical method of exponential approximation in MATLAB/Simulink (R).

引用

页码：341 / 346

页数：6

共 13 条

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