Paper Info
Title
Fuzzy logic controller for maximum power tracking in PMSG-based wind power systems
Abstract
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.
Year
DOI
Venue
2010
10.1007/978-3-642-14932-0_68
ICIC (2)
Keywords
Field
DocType
proposed fuzzy logic controller,dc output power,maximum power tracking,pmsg-based wind power system,non linear fuzzy logic,maximum wind power,fuzzy logic algorithm,wind power system,proposed mppt method,proposed mppt strategy,novel maximum power point,dc converter duty cycle,wind power,wind velocity,maximum power point tracking,fuzzy logic,permanent magnet synchronous generator,duty cycle,hill climbing
Wind speed,Computer science,Control theory,Duty cycle,Maximum power point tracking,Turbine,Power optimizer,Maximum power principle,Wind power,Permanent magnet synchronous generator
Conference
Volume
ISSN
ISBN
6216
0302-9743
3-642-14931-6
Citations 
PageRank 
References 
1
0.48
2
Authors
2
Name
Order
Citations
PageRank
Quoc-Nam Trinh1223.62
Hong-Hee Lee236342.82