Two LQRI based Blade Pitch Controls for Wind Turbines

Sungsu Park and Yoonsu Nam
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Sungsu Park: Department of Aerospace Engineering, Sejong University, Seoul 143-737, Korea
Yoonsu Nam: Department of Mechanical and Mechatronics Engineering, Kangwon National University, Kangwon 200-701, Korea

Energies, 2012, vol. 5, issue 6, 1-19

Abstract: 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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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