Skip to main content
Springer Nature Link
Log in

A robust MPP tracker based on sliding mode control for a photovoltaic based pumping system

  • Research Article
  • Published:
International Journal of Automation and Computing Aims and scope Submit manuscript

An Erratum to this article was published on 24 August 2017

This article has been updated

Abstract

In this paper, a mathematical model of the photovoltaic (PV) pumping system’s main components is firstly established. Then, the design of maximum power point tracking (MPPT) stage that ensures battery charging is described. This work is motivated by the need of photovoltaic generator (PVG) that efficiently extracts maximum power. The PVG is a special source of energy which has nonlinear current-voltage characteristics depending on variations in temperature and solar irradiance. In order to achieve the MPPT operating goals, a special interest is focused on the variable structure sliding mode (SM) control strategy and the classic perturb and observe (P&O) algorithm. The permanent magnet synchronous motor (PMSM) is selected as a pump driver. The field oriented control is performed as the motor drive strategy. Simulation results show a high level of efficiency, obtained with the proposed PV based pumping system. The performance comparison between SM controller and P&O controller has been carried out to demonstrate the effectiveness of the former in drawing more energy and a fast response against irradiation disturbances.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

Change history

References

  1. T. Esram, P. L. Chapman. Comparison of photovoltaic array maximum power point tracking techniques. IEEE Transactions on Energy Conversion, vol. 22, no. 2, pp. 439–449, 2007.

    Article  Google Scholar 

  2. R. Leyva, C. Alonso, I. Queinnec, A. Cid-Pastor, D. Lagrange, L. Martinez-Salamero. MPPT of photovoltaic systems using extremum-seeking control. IEEE Transactions on Aerospace and Electronic Systems, vol. 42, no. 1, pp. 249–258, 2006.

    Article  Google Scholar 

  3. H. Malek, S. Dadras, Y. Q. Chen. A fractional order maximum power point tracker: Stability analysis and experiments. In Proceedings of the 51st Annual Conference on Decision and Control, IEEE, Maui, USA, pp. 6861–6866, 2012.

    Google Scholar 

  4. M. Krstic, A. Ghaffari, S. Seshagiri. Extremum seeking for wind and solar energy applications. In Proceeding of the 11th World Congress on Intelligent Control and Automation, Shenyang, China, pp. 6184–6193, 2014.

    Google Scholar 

  5. G. Farivar, V. G. Agelidis, B. Hredzak. Fuzzy logic based control system for cascaded H-bridge converter. In Proceedings of the 11th World Congress on Intelligent Control and Automation, IEEE, Shenyang, China, pp. 6184–6193, 2014.

    Google Scholar 

  6. M. Farhat, L. Sbita. Efficiency boosting for PV systems- MPPT intelligent control based. Energy Efficiency Improvements in Smart Grid Components, Rijeka, Croatia: Intech publisher (ISBN 978-953-51-4110-5), 2015. (in press)

    Google Scholar 

  7. L. Balezentiene, D. Streimikiene, T. Balezentis. Fuzzy decision support methodology for sustainable energy crop selection. Renewable and Sustainable Energy Reviews, vol. 17, pp. 83–93, 2013

    Article  Google Scholar 

  8. M. Farhat, A. Flah, L. Sbita. Photovoltaic maximum power point tracking based on ANN control. International Review on Modelling and Simulations, vol. 7, no. 3, pp. 474–480, 2014.

    Article  Google Scholar 

  9. M. R. Nagarale, B. M. Patre. Composite fuzzy sliding mode control of nonlinear singularly perturbed systems. ISA Transactions, vol. 53, no. 3, pp. 679–689, 2014.

    Article  Google Scholar 

  10. M. Veerachary, T. Senjyu, K. Uezato. Feedforward maximum power point tracking of PV systems using fuzzy controller. IEEE Transactions on Aerospace and Electronic Systems, vol. 38, no. 3, pp. 969–981, 2002.

    Article  Google Scholar 

  11. P. Carbonell, Z. P. Jiang, D. W. Repperger. Nonlinear control of a pneumatic muscle actuator: Backstepping vs. sliding-mode. In Proceedings of International Conference on Control Applications, IEEE, Mexico City, Mexico, pp. 167–172, 2001.

    Google Scholar 

  12. M. Farhat, O. Barambones, J. A. Ramos, J. M. G. de Durana. Maximum power point tracking controller based on sliding mode approach. In Proceedings of the 35th Conference on Automation, Valencia, Spain, 2014.

    Google Scholar 

  13. A. H. Alqahtani, V. I. Utkin. Self-optimization of photovoltaic system power generation based on sliding mode control. In Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, IEEE, Montreal, USA, pp. 3468–3474, 2012.

    Google Scholar 

  14. Y. Levron, D. Shmilovitz. Maximum power point tracking employing sliding mode control. IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 60, no. 3, pp. 724–732, 2013.

    Article  MathSciNet  Google Scholar 

  15. A. Cid-Pastor, L. Martinez-Salamero, A. El Aroudi, R. Giral, J. Calvente, R. Leyva. Synthesis of loss-free resistors based on sliding-mode control and its applications in power processing. Control Engineering Practice, vol. 21, no. 5, pp. 689–699, 2013.

    Article  Google Scholar 

  16. R. Khanaki, M. A. M. Radzi, M. H. Marhaban. Artificial neural network based maximum power point tracking controller for photovoltaic standalone system. International Journal of Green Energy, vol. 13, no. 3, pp. 283–291, 2014.

    Article  Google Scholar 

  17. H. A. Yousef, M. Hamdy. Observer-based adaptive fuzzy control for a class of nonlinear time-delay systems. International Journal of Automation and Computing, vol. 10, no. 4, pp. 275–280, 2013.

    Article  Google Scholar 

  18. S. Thangaprakash, A. Krishnan. A new switching scheme for Z-source inverter to minimize ripples in the Z-source elements. International Journal of Automation and Computing, vol. 9, no. 2, pp. 200–210, 2012.

    Article  Google Scholar 

  19. Q. Y. Su, Y. C. Li, X. Z. Dai, J. Li. Fault detection for a class of impulsive switched systems. International Journal of Automation and Computing, vol. 11, no. 2, pp. 223–230. 2014.

    Article  Google Scholar 

  20. F. Mayssa, F. Aymen, S. Lassaad. Influence of photovoltaic DC bus voltage on the high speed PMSM drive. In Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, IEEE, Montreal, Canada, pp. 4489–4494, 2012.

    Google Scholar 

  21. Y. Du, D. D. C. Lu. Battery-integrated boost converter utilizing distributed MPPT configuration for photovoltaic systems. Solar Energy, vol. 85, no. 9, pp. 1992–2002, 2011.

    Article  Google Scholar 

  22. P. Alkorta, O. Barambones, A. Zubizarreta, J. A. Cortajarena1. Effective and robust generalized predictive speed control of induction motor. Mathematical Problems in Engineering, vol. 2013, Article number 913458, 2013.

    Google Scholar 

  23. M. T. Tsai, C. L. Chu, C. M. Mi, J. Y. Lin, Y. C. Hsueh. Designing a single-stage inverter for photovoltaic system application. Mathematical Problems in Engineering, vol. 2013, Article number 912487, 2013.

    Google Scholar 

  24. F. Bacha, M. Gasmi. Sliding mode control of inductionmotor- pump supplied by photovoltaic generator. In Proceedings of IEEE International Conference on Industrial Technology, IEEE, Alabama, USA, pp. 182–187, 2011.

    Google Scholar 

  25. M. Farhat, L. Sbita. ANFIS controlled solar pumping system, i-manager’s. Journal on Electronics Engineering, vol. 2, no. 2, pp. 1–9, 2011.

    Google Scholar 

  26. S. Abouda, F. Nollet, N. Essounbouli, A. Chaari, Y. Koubaa. Design, simulation and voltage control of standalone photovoltaic system based MPPT: Application to a pumping system. International Journal of Renewable Energy Research, vol. 3, no. 3, pp. 538–549, 2013.

    Google Scholar 

  27. O. M. Mohamed Vall, R. M’hiri. An approach to polynomial NARX/NARMAX systems identification in a closedloop with variable structure control. International Journal of Automation and Computing, vol. 5, no. 3, pp. 313–318, 2008.

    Article  Google Scholar 

  28. A. R. Reisi, M. H. Moradi, S. Jamasb. Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review. Renewable and Sustainable Energy Reviews, vol. 19, pp. 433–443, 2013.

    Article  Google Scholar 

  29. J. J. E. Slotine, W. P. Li. Applied Nonlinear Control, Englewood Cliffs, USA: Prentice Hall, 1991.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical, Electronics and Communications Engineering, American University of Ras Al Khaimah, Ras Al Khaimah, 10021, UAE

    Farhat Maissa

  2. Advanced Control Group, Faculty of Engineering of Vitoria-Gasteiz, University of the Basque Country, Bilbao, Spain

    Farhat Maissa & Oscar Barambones

  3. Electrical and Automatic Engineering Department, Engineering School of Gabes, University of Gabes, Zrig, Gabes, 6029, Tunisia

    Sbita Lassad & Aymen Fleh

Authors
  1. Farhat Maissa
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Oscar Barambones
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Sbita Lassad
    View author publications

    You can also search for this author inPubMed Google Scholar

  4. Aymen Fleh
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Farhat Maissa.

Additional information

Recommended by Editor-in-Chief Guo-Ping Liu

Farhat Maissa received the M. Sc. degree in automatic and intelligent techniques from National School of Engineering of Gabes, Tunisia in 2011, and the Ph.D. degree in electrical and computer engineering from the University of the Basque Country, Spain in 2015. In 2011, she joined the Department of Electrical Engineering at the National Engineering School of Gabes (ENIG) as an assistant. In 2011, she joined the Department of Electrical, Electronics and Communications Engineering in the American University of Ras Al Khaimah, UAE as an assistant professor. Now her research project is dealing with optimization and control systems. She is a member of a research unit of photovoltaic, wind and geothermal systems which its code is UR11ES82 at the University of Gabes, Tunisia.

Her research interests include power electronics, electrical machines control and drives, renewable energies.

Oscar Barambones received the M. Sc. degree in applied physics, the Ph.D. degree in control systems and automation, and the M. Sc. degree in electronic engineering, from the University of the Basque Country, Spain in 1996, 2000 and 2001, respectively. Since 1999, he has held several teaching positions at the Systems Engineering and Automation Department in the University of the Basque Country, Spain, where he is currently a professor of systems and control engineering. He is also the vice dean of research and master in the University College of Engineering of Vitoria. He has more than 100 papers published in the main international conferences of the automatic control area, book chapters, and journal citation report (Institute for Scientific Information), indexed journals. He has served as a reviewer in several international indexed journals and conferences, and has supervised several Ph.D. theses.

His research interests include the applied control of dynamic systems, particularly induction machines and its application to wind turbine systems.

Sbita Lassaad received the M. Sc. and the Ph.D. degrees in electro technique from the University of Tunis, Tunisia in 1987 and 1997, respectively. In 2008, he obtained the habilitation of conducting research (HDR) degree in electrical engineering from the National Engineering School of Sfax, University of Sfax, Tunisia. In 1988, he joined the Department of Electrical Engineering, University of Sfax, as an assistant lecturer, and became an assistant professor and an associate professor at the National Engineering School of Gabes (ENIG), University of Gabes, Tunisia in 1998 and 2009, respectively. Since January 2014, he is a full lecturer professor. He is the director of a research unit of photovoltaic, wind and geothermal Systems which its code is UR11ES82 at the University of Gabes, Tunisia.

His research interests include power electronics, electrical machines control and drives, renewable energies.

Aymen Flah received the M. Sc. degree in automatic and intelligent techniques from National School of Engineering of Gabes, Tunisia in 2009, and the Ph.D. degree in electrical engineering from National school of engineering of Gabes, Tunisia in 2012. He has extensive experience in motor control applications. In addition, he has elaborated a number of applications using intelligent techniques such as fuzzy logic, neural network, optimization techniques as PSO and BFO.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Maissa, F., Barambones, O., Lassad, S. et al. A robust MPP tracker based on sliding mode control for a photovoltaic based pumping system. Int. J. Autom. Comput. 14, 489–500 (2017). https://doi.org/10.1007/s11633-016-0982-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11633-016-0982-6

Keywords