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Modeling and Simulation of Two-Leaf Semi-rotary VAWT

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Life System Modeling and Intelligent Computing (ICSEE 2010, LSMS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6328))

Abstract

In this paper, according to the structural characteristics of two-leaf semi-rotary VAWT(vertical axis wind turbine), the micro- element method and the coordinate system rotation method are used to establish the mathematical model of wind turbine and, the mathematical model is simulated in the MATLAB platform by using the PID control method based RBF neural network tuning. The simulation result shows the revolution speed of VAWT can converge to rated value in a relative short period time after wind speed increasing.

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References

  1. Kong, Y., Wang, Z.: Layered Multi-mode Optimal Control Strategy for Multi-MW Wind Turbine. J. Journal of Donghua University (Eng. Ed.) 25(3), 317–323 (2008)

    Google Scholar 

  2. Bao, E.: Development Of Wind Power Generation Technology. J. Renewable Energy 114(2), 53–55 (2004)

    Google Scholar 

  3. Antipov, V.N., Danilevich, Y.B.: Analysis and Investigation of Size Spectrum of Synchronous Machines Operating as Wind-Power-Generators in the Range of Rotation Frequencies of 75-300 rpm. J. Russian Electrical Engineering 80(1), 23–28 (2009)

    Article  Google Scholar 

  4. Yang, F., Wu, J., Yang, J.: Analysis of Structural Mechanics for Lattice VAWT. J. Electric Power Construction 29(11), 67–70 (2008)

    MATH  Google Scholar 

  5. Two-leaf Vertical Axis Wind Turbine. P. Prospectus, http://www.qianyan.biz/Patent-Display/200810024858.html

  6. Li, G.: Intelligent Control and MATLAB Implementation, p. 31. Electronic Industry Press, Beijing (2005)

    Google Scholar 

  7. Xu, N.: Neural Network Control, 3rd edn., p. 25. Electronic Industry Press, Beijing (2009)

    Google Scholar 

  8. Ye, H.: Technology of Wind Turbine Control, p. 193. Machine Industry Press, Beijing (2002)

    Google Scholar 

  9. Tao, Z., Qiu, Z.: Stability and Maximum Speed of Revolution of Two-leaf Semi-rotary VAWT. J. Journal of Anhui University of Technology 23(4), 421–424 (2006)

    Google Scholar 

  10. Shin, M., Goel, A.L.: The range of fields in which RBF methods have been employed is very impressive, including geophysics, signal processing, meteorology, orthopedics, pattern recognition, and computational fluid dynamics. J. IEEE Trans. Software Engineering 26(6) (2000)

    Google Scholar 

  11. Suresh, S., Omkar, S.N., Mani, V.: Parallel Implementation of Back-Propagation Algorithm in Networks of Workstation. J. IEEE Trans. 16(1), 24–33 (2005)

    Google Scholar 

  12. Knoblock, C.: Neural networks are learning devices inspired by the workings of the brain. J. IEEE Computer Society 11(4), 4 (1996)

    Google Scholar 

  13. Chen, M.: Neural Network Model, p. 4. Dalian University of Technology Press, Dalian (1995)

    Google Scholar 

  14. Liu, J.: Advanced PID Control MATLAB Simulation, 2nd edn., pp. 162–164. Electronics Industry Press, Beijing (2004)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Electronic and Information Engineering, Zhongyuan Institute of Technology, Zhongyuan Middle Road 41, Zhengzhou, China

    Qian Zhang, Haifeng Chen & Binbin Wang

Authors
  1. Qian Zhang
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  2. Haifeng Chen
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  3. Binbin Wang
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Editor information

Editors and Affiliations

  1. Electrical Engineering and Computer Science, The Queen’s University, Ashby Building, Stranmillis Road, BT9 5AH, Belfast, UK

    Kang Li

  2. School of Mechatronical Engineering and Automation, Shanghai University, P.O.Box 183, 200072, Shanghai, China

    Minrui Fei  & Li Jia  & 

  3. School of Electronics, Electrical Engineering and Computer Science, The Queen’s University, Ashby Building, Stranmillis Road, BT9 5AH, Belfast, UK

    George W. Irwin

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© 2010 Springer-Verlag Berlin Heidelberg

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Zhang, Q., Chen, H., Wang, B. (2010). Modeling and Simulation of Two-Leaf Semi-rotary VAWT. In: Li, K., Fei, M., Jia, L., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science, vol 6328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15621-2_43

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  • DOI: https://doi.org/10.1007/978-3-642-15621-2_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15620-5

  • Online ISBN: 978-3-642-15621-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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