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Real Time Implementation of Sliding Mode Supervised Fractional Controller for Wind Energy Conversion System

  • Hamza Afghoul
  • Fateh Krim
  • Antar Beddar
  • Anouar Ounas
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 62)

Abstract

Wind energy conversion system is increasingly taking the place to be the most promised renewable source of energy, which obliges researchers to look for effective control with low cost. Thus, this paper proposes to apply a suitable controller for speed control loop to reach the maximum power point of the wind turbine under sever conditions. In literature, a major defect of the conventional PI controller is the slow response time and the high damping. Moreover, many solutions proposed the fractional order PI controller which presents also some weakness in steady state caused by the approximation methods. The main idea is to propose a Sliding Mode Supervised Fractional order controller which consists of PI controller, FO-PI controller and sliding mode supervisor that employs one of them. A prototype is built around real-time cards and evaluated to verify the validity of the developed SMSF. The results fulfil the requirements and demonstrate its effectiveness.

Keywords

MPPT Wind energy conversion system PI controller FO-PI controller Sliding mode control DPC 

Notes

Acknowledgements

The authors gratefully acknowledge the head of Electro-technics department and the dean of Technology faculty of University of Setif-1 for facilitates the access to the equipment. This paper is a part of the project PRFU: A10N01UN190120180002.

References

  1. 1.
    Afghoul, H., Krim, F., Babes, B., Beddar, A., Kihal, A.: Design and real time implementation of sliding mode supervised fractional controller for wind energy conversion system under sever working conditions. Energy Convers. Manag. 167, 91–101 (2018)CrossRefGoogle Scholar
  2. 2.
    Beddar, A., Bouzekri, H., Babes, B., Afghoul, A.: Experimental enhancement of fuzzy fractional order PI + I controller of grid connected variable speed wind energy conversion system. Energy Convers. Manag. 123, 569–580 (2016)CrossRefGoogle Scholar
  3. 3.
    Adánez, J.M., Al-Hadithi, B.M., Jiménez, A.: Wind turbine multivariable optimal control based on incremental state model. Asian J. Control 20, 1–13 (2018)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Anh Tuyet, N.T., Chou, S.Y.: Maintenance strategy selection for improving cost-effectiveness of offshore wind systems. Energy Convers. Manag. 157, 86–95 (2018)CrossRefGoogle Scholar
  5. 5.
    Babes, B., Rahmani, L., Chaoui, A., Hamouda, N.: Design and experimental validation of a digital predictive controller for variable-speed wind turbine systems. J. Power Electron. 17, 232–241 (2017)CrossRefGoogle Scholar
  6. 6.
    Hoshyar, M., Mola, M.: Full adaptive integral backstepping controller for an interior permanent magnet synchronous motors. Asian J. Control 20, 1–12 (2018)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Song, D., et al.: Maximum power extraction for wind turbines through a novel yaw control solution using predicted wind directions. Energy Convers. Manag. 157, 587–599 (2018)CrossRefGoogle Scholar
  8. 8.
    Liao, M., Dong, L., Jin, L., Wang, S.: Study on rotational speed feedback torque control for wind turbine generator system. In: International Conference on Energy and Environmental Technology (ICEET), Guilin, Guangxi, China, pp. 853–856 (2009)Google Scholar
  9. 9.
    Geng, H., Xu, D., Wu, B., Yang, G.: Comparison of oscillation damping capability in three power control strategies for PMSG-based WECS. Wind Energy 14, 389–406 (2011)CrossRefGoogle Scholar
  10. 10.
    Johnson, S.J., Baker, J.P., Van Dam, P., Baker, Berg: An overview of active load control techniques for wind turbines with an emphasis on microtabs. Wind Energy 13, 239–253 (2010)CrossRefGoogle Scholar
  11. 11.
    Mohamed, A.Z., Eskander, M.N., Ghali, F.A.: Fuzzy logic control based maximum power tracking of a wind energy system. Renew. Energy 23, 235–245 (2001)CrossRefGoogle Scholar
  12. 12.
    Lee S.H., Joo Y.J., Back J, Seo J.H.: Sliding mode controller for torque and pitch control of wind power system based on PMSG. In: International Conference on Control, Automation and Systems, ICCAS, pp. 1079–1084 (2010)Google Scholar
  13. 13.
    Asadollahi, M., Ghiasi, A.R., Dehghani, H.: Excitation control of a synchronous generator using a novel fractional-order controller. IET Gener. Transm. Distrib. 9, 2255–2260 (2015)CrossRefGoogle Scholar
  14. 14.
    Afghoul, H., Chikouche, D., Krim, F., Babes, B., Beddar, A.: Implementation of fractional-order integral-plus proportional controller to enhance the power quality of an electrical grid. Electr. Power Compon. Syst. 44, 1018–1028 (2016)CrossRefGoogle Scholar
  15. 15.
    Podlubny, I.: Fractional-order systems and PIlDμ. IEEE Trans. Autom. Control 44, 208–214 (1999)MathSciNetCrossRefGoogle Scholar
  16. 16.
    Afghoul, H., Krim, F., Chikouche, D., Beddar, A.: Robust switched fractional controller for performance improvement of single phase active power filter under unbalanced conditions. Front. Energy 10, 203–212 (2016)CrossRefGoogle Scholar
  17. 17.
    Afghoul, H., Krim, F., Chikouche, D., Beddar, A.: Design and real time implementation of fuzzy switched controller for single phase active power filter. ISA Trans. 58, 614–621 (2015)CrossRefGoogle Scholar
  18. 18.
    Beddar, A., Bouzekri, H., Babes, B., Afghoul, H.: Real time implementation of improved fractional order proportional-integral controller for grid connected wind energy conversion system. Rev. Roum. Sci. Tech. Ser. Électrotech. Énerg. 61, 402–407 (2016)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Hamza Afghoul
    • 1
    • 2
  • Fateh Krim
    • 2
  • Antar Beddar
    • 3
  • Anouar Ounas
    • 2
  1. 1.Ecole Supérieure de Technologies IndustriellesAnnabaAlgeria
  2. 2.LEPCI Laboratory, Electronics Department, Faculty of TechnologySetif-1 UniversitySetifAlgeria
  3. 3.Electrical Engineering DepartmentUniversity of SkikdaSkikdaAlgeria

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