Abstract
This study took the pitch angle in the wind turbine as the control target. The performance of the fuzzy pitch angle controller has a strong correlation with its parameter tuning. The quality of the parameters tuning even determine whether the output converges. Analyzes the effect of parameters tuning on the output of the controller. In order to obtain better performance of the controller, this study introduced genetic algorithm (GA) to optimize the variable pitch system and the parameters of the main fuzzy controller are tuned online using the sub-fuzzy controller. According to the analysis of simulation results, the double fuzzy controller designed could deal with input signals of different pitch angles. Reduced the mechanical losses of blade starts.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
