Pitch control is one of the most important issues in modern wind turbines. It is vital to regulate the generator output power and reduce the fatigue load in related parts of wind turbine, also preventing from possible dangers due to an unpredictedincrease of wind speed and output power. The most recent approach in pitch control is to use of fuzzy controllers. An important feature of fuzzy controllers is the ability to solve nonlinear problems. However, the Type-1 Fuzzy Logic (T1FL) controllers cannot show uncertainly of parameters in pitch control. In this study, Interval Type-2 Fuzzy Logic (IT2FL) is applied instead of the T1FL to include and represent high levels of uncertainties in problem parameters in order to increase the accuracy of the results. The results indicate that the IT2FL controller in compare with T1FL controller has better improvement in adjustment of pitch angle, controlling of rotor speed and optimizing output power to achieve rated power in the generator.
Primary Language | English |
---|---|
Journal Section | Articles |
Authors | |
Publication Date | December 1, 2014 |
Published in Issue | Year 2014 Volume: 4 Issue: 4 |