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Fuzzy Logic-Based Pitch Angle Controller for PMSG-Based Wind Energy Conversion System

  • Ramji Tiwari
  • N. Ramesh Babu
  • P. Sanjeevikumar
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 435)

Abstract

A comparative analysis of different types pitch angle controller is designed in this paper to achieve a steady output torque for stable wind turbine operation. The control techniques are implemented and developed to provide a uniform constant torque to the permanent magnet synchronous generator (PMSG). The wind system consists of a wind turbine, a pitch actuator and PMSG. The control strategy used are proportional-integral (PI) and fuzzy logic controller (FLC). The performance of the control strategies is investigated in terms of aerodynamic torque, generator speed and the generator power. The complete wind energy conversion system (WECS) is developed and tested using MATLAB/Simulink. The performance of the control strategies is evaluated under varying wind-speed condition. The performance of the pitch angle controllers is found satisfactory, but the strategy with fuzzy logic-based controller shows better performance as compared to PI controller.

Keywords

Wind energy conversion system PMSG Pitch angle controller PI controller Fuzzy controller 

References

  1. 1.
    Uehara, A., et al.: A coordinated control method to smooth wind power fluctuations of a PMSG-based WECS. IEEE Trans. Energy Convers. 26(2), 550–558 (2011)CrossRefGoogle Scholar
  2. 2.
    Lee, J., Kim, Y.S.: Sensorless fuzzy-logic-based maximum power point tracking control for a small-scale wind power generation systems with a switched-mode rectifier. IET Renew. Power Gene. 10(2), 194–202 (2016)CrossRefGoogle Scholar
  3. 3.
    Tiwari, R., Ramesh Babu, N.: Recent developments of control strategies for wind energy conversion system. Renew. Sustain. Energy Rev. 66, 268–285 (2016)Google Scholar
  4. 4.
    Babu, N.R., Arulmozhivarman, P.: Wind energy conversion system—A techical review. J. Eng. Sci. Tech. 8, 493–507 (2013)Google Scholar
  5. 5.
    Han, B., Zhou, L., Yang, F., Xiang, Z.: Individual pitch controller based on fuzzy logic control for wind turbine load mitigation. IET Renew. Power Gener. 10(5), 687–693 (2016)CrossRefGoogle Scholar
  6. 6.
    Zhang, J., Cheng, M., Chen, Z., Fu, X.: Pitch angle control for variable speed wind turbines, In: Electric Utility Deregulation and Restructuring and Power Technologies, DRPT Third International Conference Nanjuing, 2691–2696 (2008)Google Scholar
  7. 7.
    Van, T.L., Nguyen, T.H., Lee, D.C.: Advanced pitch angle control based on fuzzy logic for variable-speed wind turbine systems. IEEE Trans. Energy Convers. 30(2), 578–587 (2015)CrossRefGoogle Scholar
  8. 8.
    Jonkman, J., et al.: Definition of a 5-MW reference wind turbine for offshore system development. National Renewable Energy Laboratory, Golden, CO, Technical Report No. NREL/TP-500–38060 (2009)Google Scholar
  9. 9.
    Yin, X., Lin, Y., Li, W., Ya-jing, G., Wang, X., Lei, P.: Design, modeling and implementation of a novel pitch angle control system for wind turbine. Renewable Energy 81, 599–608 (2015)CrossRefGoogle Scholar
  10. 10.
    Soedibyo, S., Firdaus, A.A.: Design and simulation of neural network predictive controller pitch-angle in permanent magnetic synchronous generator wind turbine variable pitch system. In: Information Technology, Computer and Electrical Engineering (ICITACEE), International Conference Semarang. 346–350 (2014)Google Scholar
  11. 11.
    Sanjeevikumar, P., Blaabjerg, F., Siano, P., Martirano, L., Leonowicz, Z., Pandav, K.M.: PI and fuzzy control strategies for high voltage output DC-DC boost power converter—hardware implementation and analysis. In: Conference Proceedings of 16 IEEE International Conference on Environment and Electrical Engineering, Florence (Italy), (2016)Google Scholar
  12. 12.
    Ren, Y., Li, L., Brindley, J., Jiang, L.: Nonlinear PI control for variable pitch wind turbine. Control Eng. Practice. 50, 84–94 (2016)CrossRefGoogle Scholar
  13. 13.
    Chedid, R., Mrad, F., Basma, M.: Intelligent control of a class of wind energy conversion systems. IEEE Trans. Energy Convers. 14(4), 1597–1604 (1999)CrossRefGoogle Scholar
  14. 14.
    Tiwari, R., Ramesh Babu, N.: Fuzzy logic based MPPT for permanent magnet synchronous generator in wind energy conversion system. IFAC-PapersOnLine 49(1), 462–467 (2016)Google Scholar
  15. 15.
    Qi, Y., Meng, Q.: The application of fuzzy PID control in pitch wind turbine. Energy Procedia. 16, 1635–1641 (2012)CrossRefGoogle Scholar
  16. 16.
    Sanjeevikumar, P., Daya, FJL., Blaabjerg, F., Wheeler, P., Szcześniak, P., Oleschuk, V., Ertas, A.H.: Wavelet-fuzzy speed indirect field oriented controller for three-phase AC motor drive-investigation and implementation. Int. J. Eng. Sci. Tech. 19(3), 1099–1107 (2016)Google Scholar
  17. 17.
    Gao, R., Gao, Z.: Pitch control for wind turbine systems using optimization, estimation and compensation. Renew. Energy. 91, 501–515 (2016)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Ramji Tiwari
    • 1
  • N. Ramesh Babu
    • 1
  • P. Sanjeevikumar
    • 2
  1. 1.School of Electrical EngineeringVIT UniversityVelloreIndia
  2. 2.Department of Electrical and Electronics EngineeringUniversity of JohannesburgAuckland, JohannesburgSouth Africa

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