Power and velocity control of wind turbines by adaptive fuzzy controller during full load operation

Article

Habibi, H., Koma, A. Yousefi and Sharifian, A.. 2016. "Power and velocity control of wind turbines by adaptive fuzzy controller during full load operation." Iranian Journal of Fuzzy Systems. 13 (3), pp. 35-48.
Article Title

Power and velocity control of wind turbines by adaptive fuzzy controller during full load operation

ERA Journal ID200851
Article CategoryArticle
AuthorsHabibi, H. (Author), Koma, A. Yousefi (Author) and Sharifian, A. (Author)
Journal TitleIranian Journal of Fuzzy Systems
Journal Citation13 (3), pp. 35-48
Number of Pages14
Year2016
Place of PublicationIran
ISSN1735-0654
Web Address (URL)http://www.google.com.au/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwiPpdGPyaTPAhUCWj4KHQf2DnAQFgghMAA&url=http%3A%2F%2Fijfs.usb.ac.ir%2Farticle_2428_308f6f0e85ce1f925dc3c630db3c4b78.pdf&usg=AFQjCNGWCxUYZYExaVFtHUMtzUhsCi4saw&bvm=bv.133700528,d.dG
Abstract

Research on wind turbine technologies have focused primarily on power cost reduction. Generally, this aim has been achieved by increasing power output while maintaining the structural load at a reasonable level. How- ever, disturbances, such as wind speed, affect the performance of wind turbines, and as a result, the use of various types of controller becomes crucial.

This paper deals with two adaptive fuzzy controllers at full load operation. The first controller uses the generated power, and the second one uses the angular velocity as feedback signals. These feedback signals act to control the load torque on the generator and blade pitch angle. Adaptive rules, derived from the fuzzy controller, are defined based on the differences between state variables of the power and angular velocity of the generator and their nominal values.

The results, which are compared with verified results of reference controller, show that the proposed adaptive fuzzy controller in full load operation has a higher efficiency than that of reference ones, insensitive to fast wind speed
variation that is considered as disturbance.

KeywordsAdaptive fuzzy controller; control strategy; full load region; wind turbine model
ANZSRC Field of Research 2020401703. Energy generation, conversion and storage (excl. chemical and electrical)
400799. Control engineering, mechatronics and robotics not elsewhere classified
401706. Numerical modelling and mechanical characterisation
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Byline AffiliationsCurtin University
University of Tehran, Iran
Computational Engineering and Science Research Centre
Institution of OriginUniversity of Southern Queensland
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