Nonlinear Control of Variable Speed Wind Turbines via Fuzzy Techniques

In this paper, a fuzzy logic controller is proposed to fulfill the objective of maximum power extraction based on a two-mass model. One of the crucial problems is that the effective wind speed cannot be measured directly due to the high disturbance of the wind speed and the high cost of sensors. Thr...

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Bibliographic Details
Published inIEEE access Vol. 5; pp. 27 - 34
Main Authors Liu, Jianxing, Gao, Yabin, Geng, Sijia, Wu, Ligang
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Control systems
Controllers
Filtering algorithms
Fuzzy control
Fuzzy logic
Fuzzy systems
Generators
Mathematical model
Maximum power
Nonlinear control
Parameter robustness
Sensors
Wind power generation
Wind speed
Wind turbines
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Summary:In this paper, a fuzzy logic controller is proposed to fulfill the objective of maximum power extraction based on a two-mass model. One of the crucial problems is that the effective wind speed cannot be measured directly due to the high disturbance of the wind speed and the high cost of sensors. Three algorithms are used to estimate the effective wind speed by solving power balance equations, and the estimated wind speed is used to determine the optimal speed reference for a generator control system. The control performance of the fuzzy logic controller is verified in the whole system and compared with a conventional PI controller. Simulation results are presented to illustrate the effectiveness and robustness against parameter variations of the proposed control design.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2016.2599542