Optimum Seeking-Based Non-Linear Controller To Maximise Energy Capture in a Variable Speed Wind Turbine

Loading...

Date

Journal Title

Journal ISSN

Volume Title

Open Access Color

GOLD

Green Open Access

Yes

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Top 10%
Influence
Top 10%
Popularity
Top 10%

relationships.isProjectOf

relationships.isJournalIssueOf

Abstract

In this study, an optimum seeking-based robust non-linear controller is proposed to maximise wind energy captured by variable speed wind turbines at low-to-medium wind speeds. The proposed strategy simultaneously controls the blade pitch angle and tip-speed ratio, through the turbine rotor angular speed, to an optimal point at which the power coefficient, and hence the wind turbine efficiency, is maximum. The optimal points are given to the controller by an optimisation algorithm that seeks the unknown optimal blade pitch angle and rotor speed. The control method allows for aerodynamic rotor power maximisation without exact knowledge of the wind turbine model. A representative numerical simulation is presented to show that the wind turbine can be accurately controlled to achieve maximum energy capture. © 2012 The Institution of Engineering and Technology.

Description

Keywords

Wind turbines, Energy capture, Linear control systems, Wind speed, Turbomachine blades, Wind turbines, Energy capture, Linear control systems, Turbomachine blades, Wind speed

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

Iyasere, E., Salah, M., Dawson, D. M., Wagner, J. R., and Tatlıcıoğlu, E. (2012). Optimum seeking-based non-linear controller to maximise energy capture in a variable speed wind turbine. IET Control Theory and Applications, 6(4), 526-532. doi:10.1049/iet-cta.2010.0689

WoS Q

Scopus Q

OpenCitations Logo
OpenCitations Citation Count
36

Volume

6

Issue

4

Start Page

526

End Page

532
PlumX Metrics
Citations

CrossRef : 35

Scopus : 38

Captures

Mendeley Readers : 26

SCOPUS™ Citations

38

checked on Apr 28, 2026

Web of Science™ Citations

36

checked on Apr 28, 2026

Page Views

757

checked on Apr 28, 2026

Downloads

474

checked on Apr 28, 2026

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
7.45284846

Sustainable Development Goals