Analysis and Design of Photovoltaic Pumping System based on Nonlinear Speed Controller

  • Fouad Zebiri Faculty of Sciences & Technology, Bordj Bou Arreridj University.
  • Abdelhalim Kessal Faculty of Sciences & Technology, Bordj Bou Arreridj University.
  • Lazhar Rahmani Laboratoire d’automatique, University of Setif 1
  • Ali Chebabhi Faculty of Sciences & Technology, Bordj Bou Arreridj University. ICEPS Laboratory. Djillali Liabes University of Sidi Bel-Abbes.


This paper presents an analysis by which the dynamic performances of a permanent magnet brushless DC (PMBLDC)motor is controlled through a hysteresis current loop and an outer speed loop with different controllers. Thedynamics of the photovoltaic pumping drive system with sliding mode speed controllers are presented. The proposedstructure is comprised of a photovoltaic generator associated to a DC-DC converter controlled by fuzzy logicto ensure maximum power point tracking. The PWM signals are generated by the interaction of the motor speedclosed-loop system and the current hysteresis. The motor reference current is compared with the motor speedfeedback signal. The considered model has been implemented in the Matlab /Simpower environment. The resultsshow the effectiveness of the proposed method in increasing the performance of the water pumping system.


[1] N-C-H. Lin, C-H. Huang, D-Y. Chun, J-L. Chen: Maximum photovoltaic power tracking for the PV array using the fractional-order incremental conductance method. Applied Energy. 88 (2011) 4840-4847.
[2] A. El Shahat: PV Module Optimum Operation Modeling. Journal of Power Technologies. 94 (1) (2014) 50–66.
[3] A. Betka, A. Moussi: Maximum efficiency of an induction motor fed by a photovoltaic source. Larhyss Journal. 02 (2003) 151-162.
[4] P. Bajpai, V. Dash: Hybrid renewable energy systems for power generation in standalone applications. Renewable and Sustainable Energy Reviews. 16 (5) (2012) 2926-2939.
[5] A. Hamidat, A-H. Arab, M-T. Boukadoum: Performance and costs of PV systems pumping Algeria. Rev. Energ. Ren. 8 (2005) 157–166.
[6] A. Terki, A. Moussi, A. Betka, N. Terki: An improved efficiency of fuzzy logic control of PMBLDC for PV pumping system. Applied Mathematical Modeling. 36 (2012) 934–944.
[7] A. Betka, A. Moussi: Performance optimization of a photovoltaic induction motor pumping system. Renewable Energy. 29 (2004) 2167–2181.
[8] A. Betka, A. Attali: Optimization of a photovoltaic pumping system based on the optimal control theory. Sol Energ. 84 (2010) 1273–1283.
[9] A. Tofighi: Performance Evaluation of PV Module by Dynamic Thermal Model. Journal of Power Technologies. 93 (2) (2013) 111–121.
[10] K. Himour, K. Ghedamsi, El-M. Berkouk: Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions. IEEE Proceedings. 142 (1) (1995) 59-64.
[11] BP Solar BP SX150-150W Multi-crystalline Photovoltaic Module Datasheet, 2001.
[12] M-K. Gupta1, R. Jain, A. Goswami: Desing & simulation of photovoltaic system using advance MPPT. International Journal of Advanced Technology & Engineering Research. 2 (4) (2012) 73-77.
[13] I. Purnama, Y-K. Lo, H-J. Chiu: A Fuzzy Control Maximum Power Point Tracking Photovoltaic System. IEEE International Conference on Fuzzy Systems. June 27-30, 2011, Taipei, Taiwan
[14] F-A-O. Aashoor, F-V-P. Robinson: Maximum Power Point Tracking of Photovoltaic Water Pumping System Using Fuzzy Logic Controller. IEEE, Power Engineering Conference (UPEC), Dublin, 2-5 Sept. 2013.
[15] A. Kerboua, M. Abid: Hybrid fuzzy sliding mode control of a doubly-fed induction generator speed in wind turbines. Journal of Power Technologies. 95 (2) (2015) 126–133.
[16] A. Terki: contrôle flou-génétique hybride d’un moteur BLDC dans un système de pompage photovoltaïque. (2011) Ph.D Thesis, university of Biskra, Algérie.
[17] C. Umayal, D-S. Devi: Modeling and Simulation of PFC SEPIC Converter fed PMBLDC Drive for Mining Application. International Journal of Advanced Trends in Computer Science and Engineering. 2 (2) (2013) 203-208.
[18] C. Navaneethakkannan, M. Sudha: Minimum rule based PID Sliding mode fuzzy control technique for Brushless DC drivers. International Journal of Advances in Engineering & Technology. 4 (2) (2012) 255-265.
[19] J-J. SLOTINE: Sliding Controller design for nonlinear systems. International Journal of Control. 40 (2) (1984) 421-434.
[20] V-I. Utkin: Sliding Mode Control Design Principles and Applications to Electric Drives. IEEE truncation on industrial electronics. 40 (1) (1993) 23-36.
[21] V-I. Utkin: Variable Structure Systems with Sliding Modes. IEEE truncation on Automatic control. AC-22 (2) (1977).
[22] K. Benlarbi, L. Mokrani, M-S. Nait-Said: Fuzzy, Neuronal and Neuro-fuzzy Optimization of an A photovoltaic Water Pumping System driven by DC an AC Motors. Energy Solar. 77 (2) (2004) 203-216.
[23] I. Odeh, Y-G. Yohanis, B. Norton: Influence of pumping head, insolation and PV array size on PV water pumping system performance. Solar Energy. 80 (1) (2006) 51-64.
How to Cite
ZEBIRI, Fouad et al. Analysis and Design of Photovoltaic Pumping System based on Nonlinear Speed Controller. Journal of Power Technologies, [S.l.], v. 96, n. 1, p. 40--48, apr. 2016. ISSN 2083-4195. Available at: <>. Date accessed: 20 july 2024.
Renewable and Sustainable Energy


Photovoltaic, Permanent magnet brushless DC (PMBLDC) motor, MPPT, Speed control, Fuzzy, Sliding Mode

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