Title :
The application of the fuzzy neural network BP network based in the constant speed control of the new vertical wind turbine
Author :
Zhang, Qian ; Wang, Shuangling ; Chen, Huige
Author_Institution :
Sch. of Electr. & Inf. Eng., Zhongyuan Univ. of Technol., Zhengzhou, China
Abstract :
This paper studied the method of the wind turbine´s dynamic modeling creation based on the research of the relationship between the blade attack angle of the new vertical wind turbine and its efficiency, and also studied the fuzzy neural network algorithm based on BP network which was applied in the constant speed control of such a new vertical wind turbine. We created a specific mathematical model for a 500W experimental prototype and did the simulation. From the results we know that the fuzzy neural network algorithm of BP network based is more advanced than the traditional PID algorithm in the control of the new vertical wind turbine.
Keywords :
backpropagation; control engineering computing; fuzzy neural nets; power engineering computing; power system control; velocity control; wind turbines; backpropagation network; blade attack angle; constant speed control; fuzzy neural network BP network; power 500 W; vertical wind turbine; wind turbine dynamic modeling; Blades; Fuzzy control; Fuzzy neural networks; Generators; Mathematical model; Torque; Wind turbines; blade attack angle; constant speed control; fuzzy neural network; vertical wind turbine;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554603
