The application of the fuzzy neural network BP network based in the constant speed control of the new vertical wind turbine | IEEE Conference Publication | IEEE Xplore

The application of the fuzzy neural network BP network based in the constant speed control of the new vertical wind turbine


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...Show More

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.
Date of Conference: 07-09 July 2010
Date Added to IEEE Xplore: 23 August 2010
ISBN Information:
Conference Location: Jinan, China
References is not available for this document.

I. Introduction

Recently, with the problems of global warming and coal, oil, natural gas and other fossil energy depletion worsening more and more, countries of the world, especially developed countries invested a lot of funds to study on the non-polluting renewable energy. Because the wind energy has the characteristic of wide distribution, large reserves, non-polluting, it is took the attention of the governments [1]. The wind turbine can be divided into level-axis wind turbines and vertical-axis wind turbines. Because the vertical wind turbine has low wind energy utilization efficiency and poor startup performance, it has not been paid attention. However, with the large-scale design and manufacture of the wind turbine, the generating cost of vertical wind turbine is gradually decreased unit kw [2]. The new vertical wind turbine which is discussed in this paper not only overcomes the shortcomings of low wind energy utilization efficiency and poor startup performance of the traditional vertical wind turbine, but also inherits the advantages of high reliability, low maintenance costs, simple design and manufacture of the blades. According to the development trends of the wind turbine, a new vertical wind turbine system which is discussed in this paper adopts permanent magnet synchronous generators in order to simplify the structure of the system and reduce maintenance costs [3]. The studies on the constant speed control of new vertical wind turbine have great significance in which it is applied in a small and medium off-grid wind power generation system.

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M.R.I. Sheikh, S.M. Muyeen, Takahashi Rion, Murata Toshiaki and Tamura Junji, "Transient Stability Enhancement of Wind Generator Using Superconducting Magnetic Energy Storage Unit[A]", IEEE the 2008 International Conference on Electrical Machines Paper ID 1027.
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FEI Xiang, HE Xiaoyan, LUO Junzhou, WU Jieyi and GU Guanqun, "Fuzzy Neural Network Based Traffic Prediction and Congestion Control in High-Speed Networks[J]", J. Comput. Sci. & Technol., vol. 15, no. 2, pp. 144-149, 2000.
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Kim Sungshin and Lee Hyung, "A polynomial fuzzy neural network for modeling and control[J]", Artif Life Robotics, pp. 162-166, April 2000.
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References

References is not available for this document.