Optimization of Pitch Control Parameters for a Wind Turbine Based on Tower Active Damping Control
Given the difficulty of accurately setting multiple control parameters in wind turbines, a design method for a pitch controller considering tower load reduction is proposed, which enhances the control performance and reduces both the tower vibration and load. Firstly, the pitch-speed system and the...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/22/8686 |
| _version_ | 1797465410015068160 |
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| author | Yingming Liu Shuyuan Zhang Xiaodong Wang Hongfang Xie Tian Cao |
| author_facet | Yingming Liu Shuyuan Zhang Xiaodong Wang Hongfang Xie Tian Cao |
| author_sort | Yingming Liu |
| collection | DOAJ |
| description | Given the difficulty of accurately setting multiple control parameters in wind turbines, a design method for a pitch controller considering tower load reduction is proposed, which enhances the control performance and reduces both the tower vibration and load. Firstly, the pitch-speed system and the tower fore-aft active damping control are built. In addition, the explicit equation of the tower fore-aft active damping gain is deduced to calculate its initial value. Secondly, the pitch-speed system is identified as an inertial time-delay system using the least squares method. Subsequently, the pitch PI control parameters are set using the Chien–Hrones–Reswick method. Thirdly, the pitch PI control parameters and the tower fore-aft active damping gains are optimized based on the kindred-protected genetic algorithm, which improves the accuracy of the control parameters. Meanwhile, the Pareto method is used to coordinate the control objectives by allocating the weight. Furthermore, the adaptive control is built by fitting the parameters with the wind speed points using the least squares method to enhance the control performance. Finally, the effectiveness of the proposed design method is verified by comparing the control performance with the tower vibration and load. |
| first_indexed | 2024-03-09T18:21:59Z |
| format | Article |
| id | doaj.art-dc11d422eedf462086b26a920f026d76 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T18:21:59Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-dc11d422eedf462086b26a920f026d762023-11-24T08:16:59ZengMDPI AGEnergies1996-10732022-11-011522868610.3390/en15228686Optimization of Pitch Control Parameters for a Wind Turbine Based on Tower Active Damping ControlYingming Liu0Shuyuan Zhang1Xiaodong Wang2Hongfang Xie3Tian Cao4School of Electrical Engineering, Shenyang University of Technology, Liao Shen West Road 111, Shenyang 110027, ChinaSchool of Electrical Engineering, Shenyang University of Technology, Liao Shen West Road 111, Shenyang 110027, ChinaSchool of Electrical Engineering, Shenyang University of Technology, Liao Shen West Road 111, Shenyang 110027, ChinaSchool of Electric Power, Shenyang Institute of Technology, Pu Chang Road 18, Shenyang 110136, ChinaSchool of Electrical Engineering, China University of Mining and Technology, University Road 1, Xuzhou 221116, ChinaGiven the difficulty of accurately setting multiple control parameters in wind turbines, a design method for a pitch controller considering tower load reduction is proposed, which enhances the control performance and reduces both the tower vibration and load. Firstly, the pitch-speed system and the tower fore-aft active damping control are built. In addition, the explicit equation of the tower fore-aft active damping gain is deduced to calculate its initial value. Secondly, the pitch-speed system is identified as an inertial time-delay system using the least squares method. Subsequently, the pitch PI control parameters are set using the Chien–Hrones–Reswick method. Thirdly, the pitch PI control parameters and the tower fore-aft active damping gains are optimized based on the kindred-protected genetic algorithm, which improves the accuracy of the control parameters. Meanwhile, the Pareto method is used to coordinate the control objectives by allocating the weight. Furthermore, the adaptive control is built by fitting the parameters with the wind speed points using the least squares method to enhance the control performance. Finally, the effectiveness of the proposed design method is verified by comparing the control performance with the tower vibration and load.https://www.mdpi.com/1996-1073/15/22/8686wind turbinepitch-speed systemPIdampingoptimization strategy |
| spellingShingle | Yingming Liu Shuyuan Zhang Xiaodong Wang Hongfang Xie Tian Cao Optimization of Pitch Control Parameters for a Wind Turbine Based on Tower Active Damping Control Energies wind turbine pitch-speed system PI damping optimization strategy |
| title | Optimization of Pitch Control Parameters for a Wind Turbine Based on Tower Active Damping Control |
| title_full | Optimization of Pitch Control Parameters for a Wind Turbine Based on Tower Active Damping Control |
| title_fullStr | Optimization of Pitch Control Parameters for a Wind Turbine Based on Tower Active Damping Control |
| title_full_unstemmed | Optimization of Pitch Control Parameters for a Wind Turbine Based on Tower Active Damping Control |
| title_short | Optimization of Pitch Control Parameters for a Wind Turbine Based on Tower Active Damping Control |
| title_sort | optimization of pitch control parameters for a wind turbine based on tower active damping control |
| topic | wind turbine pitch-speed system PI damping optimization strategy |
| url | https://www.mdpi.com/1996-1073/15/22/8686 |
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