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Energies 2012, 5(6), 1998-2016; doi:10.3390/en5061998

Two LQRI based Blade Pitch Controls for Wind Turbines

1,*  and 2
1 Department of Aerospace Engineering, Sejong University, Seoul 143-737, Korea 2 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)
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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.
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
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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

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