Two LQRI based Blade Pitch Controls for Wind Turbines
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2012-06-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1996-1073/5/6/1998 |
| _version_ | 1811263331310239744 |
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| author | Yoonsu Nam Sungsu Park |
| author_facet | Yoonsu Nam Sungsu Park |
| author_sort | Yoonsu Nam |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T19:43:50Z |
| format | Article |
| id | doaj.art-15ec797952d5478fa5ad9a0a5895a814 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-12T19:43:50Z |
| publishDate | 2012-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-15ec797952d5478fa5ad9a0a5895a8142022-12-22T03:19:01ZengMDPI AGEnergies1996-10732012-06-01561998201610.3390/en5061998Two LQRI based Blade Pitch Controls for Wind TurbinesYoonsu NamSungsu ParkAs 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.http://www.mdpi.com/1996-1073/5/6/1998wind turbine controlblade load reductioncollective pitch controlindividual pitch controlKalman filterLQRI |
| spellingShingle | Yoonsu Nam Sungsu Park Two LQRI based Blade Pitch Controls for Wind Turbines Energies wind turbine control blade load reduction collective pitch control individual pitch control Kalman filter LQRI |
| title | Two LQRI based Blade Pitch Controls for Wind Turbines |
| title_full | Two LQRI based Blade Pitch Controls for Wind Turbines |
| title_fullStr | Two LQRI based Blade Pitch Controls for Wind Turbines |
| title_full_unstemmed | Two LQRI based Blade Pitch Controls for Wind Turbines |
| title_short | Two LQRI based Blade Pitch Controls for Wind Turbines |
| title_sort | two lqri based blade pitch controls for wind turbines |
| topic | wind turbine control blade load reduction collective pitch control individual pitch control Kalman filter LQRI |
| url | http://www.mdpi.com/1996-1073/5/6/1998 |
| work_keys_str_mv | AT yoonsunam twolqribasedbladepitchcontrolsforwindturbines AT sungsupark twolqribasedbladepitchcontrolsforwindturbines |