Double Fuzzy Pitch Controller of Wind Turbine Designed by Genetic Algorithm
| Autor: | Jeng-Shyang Pan, Shi-Guang Zheng, Cheng-Kuo Chang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Wind power Computer science business.industry 020208 electrical & electronic engineering 02 engineering and technology Turbine Fuzzy logic Variable (computer science) 020901 industrial engineering & automation Electricity generation Control theory Genetic algorithm 0202 electrical engineering electronic engineering information engineering Pitch angle business |
| Zdroj: | 2020 International Automatic Control Conference (CACS). |
| DOI: | 10.1109/cacs50047.2020.9289749 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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