Skip to main content

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

  • Conference paper
  • First Online:
Renewable Energy for Smart and Sustainable Cities (ICAIRES 2018)

Part of the book series: Lecture Notes in Networks and Systems ((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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  MathSciNet  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  6. Hoshyar, M., Mola, M.: Full adaptive integral backstepping controller for an interior permanent magnet synchronous motors. Asian J. Control 20, 1–12 (2018)

    Article  MathSciNet  Google Scholar 

  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)

    Article  Google Scholar 

  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. 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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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. 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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  15. Podlubny, I.: Fractional-order systems and PIlDμ. IEEE Trans. Autom. Control 44, 208–214 (1999)

    Article  MathSciNet  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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 

Download references

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.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hamza Afghoul .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Afghoul, H., Krim, F., Beddar, A., Ounas, A. (2019). Real Time Implementation of Sliding Mode Supervised Fractional Controller for Wind Energy Conversion System. In: Hatti, M. (eds) Renewable Energy for Smart and Sustainable Cities. ICAIRES 2018. Lecture Notes in Networks and Systems, vol 62. Springer, Cham. https://doi.org/10.1007/978-3-030-04789-4_20

Download citation

Publish with us

Policies and ethics