Next Article in Journal
An Overview of Two Years of Continuous Energy Optimization at the Velenje Coal Mine
Next Article in Special Issue
On Space-Time Resolution of Inflow Representations for Wind Turbine Loads Analysis
Previous Article in Journal
Double-Linear Approximation Algorithm to Achieve Maximum-Power-Point Tracking for Photovoltaic Arrays
Previous Article in Special Issue
Fatigue Reliability and Calibration of Fatigue Design Factors for Offshore Wind Turbines
Article Menu

Export Article

Open AccessArticle
Energies 2012, 5(6), 1998-2016;

Two LQRI based Blade Pitch Controls for Wind Turbines

Department of Aerospace Engineering, Sejong University, Seoul 143-737, Korea
Department of Mechanical and Mechatronics Engineering, Kangwon National University, Kangwon 200-701, Korea
Author to whom correspondence should be addressed.
Received: 15 February 2012 / Revised: 16 April 2012 / Accepted: 15 June 2012 / Published: 20 June 2012
(This article belongs to the Special Issue Wind Turbines)
Full-Text   |   PDF [372 KB, uploaded 17 March 2015]   |  


As the wind turbine size has been increasing and their mechanical components are built lighter, the reduction of the structural loads becomes a very important task of wind turbine control in addition to maximum wind power capture. In this paper, we present a separate set of collective and individual pitch control algorithms. Both pitch control algorithms use the LQR control technique with integral action (LQRI), and utilize Kalman filters to estimate system states and wind speed. Compared to previous works in this area, our pitch control algorithms can control rotor speed and blade bending moments at the same time to improve the trade-off between rotor speed regulation and load reduction, while both collective and individual pitch controls can be designed separately. Simulation results show that the proposed collective and individual pitch controllers achieve very good rotor speed regulation and significant reduction of blade bending moments. View Full-Text
Keywords: wind turbine control; blade load reduction; collective pitch control; individual pitch control; Kalman filter; LQRI wind turbine control; blade load reduction; collective pitch control; individual pitch control; Kalman filter; LQRI

Figure 1

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
Printed Edition Available!
A printed edition of this Special Issue is available here.

Share & Cite This Article

MDPI and ACS Style

Park, S.; Nam, Y. Two LQRI based Blade Pitch Controls for Wind Turbines. Energies 2012, 5, 1998-2016.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top