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

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An Erratum to this article was published on 24 August 2017

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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.

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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
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  2. Oscar Barambones
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  3. Sbita Lassad
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  4. Aymen Fleh
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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.

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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

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

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