Fuzzy Logic Controller for Maximum Power Tracking in PMSG-Based Wind Power Systems

被引：0
|
作者：
Trinh, Quoc-Nam [1 ]
Lee, Hong-Hee [1 ]
机构：
[1] Univ Ulsan, Sch Elect Engn, Ulsan 680749, South Korea
来源：
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE | 2010年 / 6216卷
关键词：
Permanent Magnet Synchronous Generator (PMSG); Maximum Power Tracking (MPPT); Fuzzy Logic Controller (FLC);
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a novel maximum power point tracking (MPPT) for a permanent magnet synchronous generator (PMSG) wind power system is proposed using a fuzzy logic algorithm. The proposed fuzzy logic controller (FLC) adopts a conventional hill climb searching (HCS) method, which is commonly used for extracting the maximum wind power due to its simplicity. The inputs of FLC are derivations of DC output power and DC/DC converter duty cycle step change, and the output of FLC is DC/DC converter duty cycle. The main advantage of the proposed MPPT method is no need to measure wind velocity and generator speed. As such, the control algorithm is independent on turbine characteristics, achieving the fast dynamic responses with non linear fuzzy logic systems. The effectiveness of the proposed MPPT strategy has been verified by simulation and experiment.
引用
收藏
页码：543 / 553
页数：11
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