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

fYear

2010

Firstpage

2553

Lastpage

2558

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2010 8th World Congress on

Conference_Location

Jinan

Print_ISBN

978-1-4244-6712-9

Type

conf

DOI

10.1109/WCICA.2010.5554603

Filename

5554603