Farhat Maissa, Oscar Barambones, Sbita Lassaad and Aymen Fleh. A Robust MPP Tracker Based on Sliding Mode Control for a Photovoltaic Based Pumping System. International Journal of Automation and Computing, vol. 14, no. 4, pp. 489-500, 2017. https://doi.org/10.1007/s11633-016-0982-6
Citation: Farhat Maissa, Oscar Barambones, Sbita Lassaad and Aymen Fleh. A Robust MPP Tracker Based on Sliding Mode Control for a Photovoltaic Based Pumping System. International Journal of Automation and Computing, vol. 14, no. 4, pp. 489-500, 2017. https://doi.org/10.1007/s11633-016-0982-6

A Robust MPP Tracker Based on Sliding Mode Control for a Photovoltaic Based Pumping System

doi: 10.1007/s11633-016-0982-6
More Information
  • Author Bio:

    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.
        E-mail:oscar.barambones@ehu.es
        ORCID iD:0000-0002-4430-8088

    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.
        E-mail:lassaad.sbita@enig.rnu.tn
        ORCID iD:0000-0002-6589-3976

    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.
        E-mail:flahaymening@gmail.com
        ORCID iD:0000-0002-3463-6096

  • Corresponding author: 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.
        E-mail:maissa.farhat@gmail.com (Corresponding author)
        ORCID iD:0000-0003-4706-686X
  • Received Date: 2014-06-23
  • Accepted Date: 2015-01-26
  • Publish Online: 2016-07-25
  • Publish Date: 2017-08-01
  • 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.

     

  • loading
  • [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. doi: 10.1109/TEC.2006.874230
    [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. doi: 10.1109/TAES.2006.1603420
    [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.
    [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.
    [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.
    [6]
    M. Farhat, L. Sbita. Efficiency boosting for PV systemsMPPT intelligent control based. Energy Efficiency Improvements in Smart Grid Components, Rijeka, Croatia: Intech publisher (ISBN 978-953-51-4110-5), 2015. (in press)
    [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. doi: 10.1016/j.rser.2012.09.016
    [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. doi: 10.15866/iremos.v7i3.1212
    [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. doi: 10.1016/j.isatra.2014.01.008
    [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. doi: 10.1109/TAES.2002.1039412
    [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.
    [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.
    [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.
    [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. doi: 10.1109/TCSI.2012.2215760
    [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. doi: 10.1016/j.conengprac.2012.02.007
    [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. https://www.researchgate.net/publication/271937864_Artificial_Neural_Network_Based_Maximum_Power_Point_Tracking_Controller_for_Photovoltaic_Standalone_System
    [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. doi: 10.1007/s11633-013-0721-1
    [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. doi: 10.1007/s11633-012-0634-4
    [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. doi: 10.1007/s11633-014-0784-7
    [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.
    [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. doi: 10.1016/j.solener.2011.05.008
    [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.
    [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.
    [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.
    [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. doi: 10.1007/978-81-322-2119-7_33
    [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. https://www.researchgate.net/publication/288975971_Design_simulation_and_voltage_control_of_standalone_photovoltaic_system_based_MPPT_Application_to_a_pumping_system
    [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. doi: 10.1007/s11633-008-0313-7
    [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. doi: 10.1016/j.rser.2012.11.052
    [29]
    J. J. E. Slotine, W. P. Li. Applied Nonlinear Control, Englewood Cliffs, USA:Prentice Hall, 1991.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(26)  / Tables(2)

    Article Metrics

    Article views (456) PDF downloads(24) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return