Fuzzy logic controller for maximum power tracking in PMSG-based wind power systems

Authors:
Quoc-Nam Trinh;Hong-Hee Lee
Affiliations:
School of Electrical Engineering, University of Ulsan, Ulsan, Korea;School of Electrical Engineering, University of Ulsan, Ulsan, Korea
Venue:
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Year:
2010

Citing 2
Cited 1

Fuzzy Control

Fuzzy Control
Variable Speed Wind Turbine Maximum Power Extraction Based on Fuzzy Logic Control

IHMSC '09 Proceedings of the 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics - Volume 02

Fuzzy PI controller for grid-connected inverters

ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence

Quantified Score

Hi-index	0.00

Visualization

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.