模糊逻辑
控制理论(社会学)
最大功率点跟踪
功率(物理)
跟踪(教育)
计算机科学
人工智能
物理
心理学
控制(管理)
逆变器
教育学
量子力学
作者
Ahmad H. El Khateb,Nasrudin Abd Rahim,Jeyraj Selvaraj
出处
期刊:Journal of Clean Energy Technologies
[EJournal Publishing]
日期:2013-01-01
卷期号:: 41-44
被引量:13
标识
DOI:10.7763/jocet.2013.v1.10
摘要
This paper introduces a type-2 fuzzy logic controller (FLC) as a maximum power point tracker (MPPT), which can handle the uncertainties of the rules under high variations in weather conditions. The MPPT employed single-ended primary-inductor (SEPIC) converter. The new controller improves maximum power tracker search method by rules fuzzifying. An accurate and fast converging to maximum power point is offered by type-2 fuzzy tracker during both steady-state and varying weather conditions compared to conventional fuzzy MPPT methods. The performance of the proposed maximum power point tracker is demonstrated in MATLAB simulation at different operating conditions.
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