• The Pitch Control Algorithm of Wind Turbine Based on Fuzzy Control and PID Control
  • DOI: 10.4236/epe.2013.53B002   PP.6 - 10
  • Author(s)
  • Rui Guo, Jinsong Du, Jinghui Wu, Yiyang Liu
  • Due to the special features of great inertia, pure lag and non-linearity provided with wind turbine, coupled with complex and variable working condition, it is difficult to achieve satisfactory control results simply by employing traditional PID, which has the drawbacks such as adjustment inconvenience, poor anti-interference, and large overshoot, and prolonged adjust span. This paper puts forward one type of improved controller combining Fuzzy Control with PID Control. With larger speed deviation, the controller emphasizes Fuzzy Control to speed system response; with less speed deviation, the controller emphasizes PID Control to improve control accuracy. Simulation Test directing at the algorithm is based on the Bladed software, with the positive result of improved dynamic and static performance of wind turbine under large disturbance.

  • Fuzzy Control; Pitch Control; Wind Turbine; Bladed
  • References
  • [1] T. Burton, D. Sharpe and N. Jenkins, “Wind Energy Handbook,” Chichester, UK: John Wiley & Sons, 2001, pp. 480-492. doi:10.1002/0470846062

    [2] H. Y. Ye, “the Control Technology of Wind Turbine Generator,”China Machine Press, Beijing, China, 2002, pp. 129-133.

    [3] B. Wang, Y. Wu, H. Ding, W. M. Yang and W. H. Yu “Variable-pitch Control of Wind Turbine at High Wind Speed,” Electric Power Automation Equipment, Vol. 30, No. 8, 2010, pp. 81-83.

    [4] T. Y. Luo and B. W. Zhang, “Wind Power Utility Software Products,” Shanghai Electric Power, Shanghai, China, Vol. 1, 2007, pp. 103-107.

    [5] C. M. Zhang, X. J. Yao, Z. C. Zhang, et al., “A Model Reference Adaptive Blade-pitch Control for A Wind Generator System,” Control Theory & Application, Vol. 25, No. 1, 2008, pp. 148-159.

    [6] X. F. Zhang, D. P. Xu, Y. G. Lu, et al., “Adaptive Fuzzy Control for Large-Scale Variable Speed Wind Turbines,”Journal of System Simulation, Vol. 16, No. 3, 2004, pp. 573-577.

    [7] S. Y. Li, “Theory and Application of Fuzzy Control and Intelligent Control,” Harbin Institute of Technology Press, Harbin, China, 1990, pp. 78-123.

    [8] W. L. Liu, “TwinCAT PLC Senior programming manual,” Beijing, China, Beckhoff Automation Ltd, 2006, pp. 280-200.

    [9] E. A. Bossanyi, “GH Bladed v3.67,” Garrad Hassan and Partners Ltd, 2005, pp. 100-107.

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Important Dates
Submission Due:
    December 11, 2013>>  February 16, 2014
Acceptance notification:
    February 26, 2014
Camera-ready due:
    February 10, 2014
    April 16-18, 2014
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