Abstract
Pitch angle control is the most common means for adjusting the aerodynamic torque of the wind turbine when wind speed is above rated speed and various controlling variables may be chosen, such as wind speed, generator speed and generator power. As conventional pitch control usually use PI controller, the mathematical model of the system should be known well. A fuzzy logic pitch angle controller is developed in this paper, in which it does not need well known about the system and the mean wind speed is used to compensate the non-linear sensitivity. The fuzzy logic control strategy may have the potential when the system contains strong non-linearity, such as wind turbulence is strong, or the control objectives include fatigue loads. The design of the fuzzy logic controller and the comparisons with conversional pitch angle control strategies with various controlling variables are carried out. The simulation shows that the fuzzy logic controller can achieve better control performances than conventional pitch angle control strategies, namely lower fatigue loads, lower power peak and lower torque peak.
Original language | English |
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Title of host publication | Proceedings of the Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT 2008) |
Number of pages | 6 |
Publisher | IEEE |
Publication date | 2008 |
ISBN (Print) | 978-7-900-714-13-8 |
Publication status | Published - 2008 |
Event | International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT 2008) - Nanjing, China Duration: 6 Apr 2008 → 9 Apr 2008 Conference number: 3 |
Conference
Conference | International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT 2008) |
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Number | 3 |
Country/Territory | China |
City | Nanjing |
Period | 06/04/2008 → 09/04/2008 |
Keywords
- Blade aerodynamic
- Fatigue load
- Fuzzy logic control
- Pitch angle
- Wind turbine