Nonlinear Control of Variable Speed Wind Turbines via Fuzzy Techniques | Zendy

Jianxing Liu | Zendy; Yabin Gao | Zendy; Sijia Geng | Zendy; Ligang Wu | Zendy

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Nonlinear Control of Variable Speed Wind Turbines via Fuzzy Techniques

Author(s) -

Jianxing Liu,

Yabin Gao,

Sijia Geng,

Ligang Wu

Publication year - 2017

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2016.2599542

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

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.

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