Comparisons of controller performance for small-scale vertical axis wind turbines

Aykut O. Onol, Ahmet Onat, Serhat Yesilyurt

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Small-scale vertical axis wind turbines (VAWTs) are attractive for portable power generation. Controller performance is very important in rapidly varying gusty winds commonly observed in urban and rural areas. In this paper, a hill-climb searching (HSC) maximum power point tracking (MPPT), an energy-maximizing model predictive control (MPC) and a simple nonlinear control (SNC) as an MPC surrogate are presented. The control algorithms are tested through a software-only electromechanical model and with hardware-in-the-loop test-bed that includes electromechanical and power electronics components. Effects of power coefficient oscillations on dynamic performance are investigated. Results show that proposed controllers perform satisfactorily for wind gust and real wind profiles; the SNC serves as a viable surrogate for the MPC; the model-free, wind speed sensorless MPPT is favorable for small-scale applications; and power coefficient oscillations do not have a significant impact on the dynamic performance of the controllers.

Original languageEnglish
Title of host publication2017 American Control Conference, ACC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509059928
Publication statusPublished - 29 Jun 2017
Externally publishedYes
Event2017 American Control Conference, ACC 2017 - Seattle, United States
Duration: 24 May 201726 May 2017

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Conference2017 American Control Conference, ACC 2017
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
© 2017 American Automatic Control Council (AACC).


Dive into the research topics of 'Comparisons of controller performance for small-scale vertical axis wind turbines'. Together they form a unique fingerprint.

Cite this