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Fuzzy direct field oriented control of a double stator induction motor (DSIM) with an MRAS observer dedicated to photovoltaic pumping system

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PL
Rozmyte bezpośrednie sterowanie zorientowane na pole silnika indukcyjnego z podwójnym stojanem (DSIM) z obserwatorem MRAS przeznaczonym do fotowoltaicznego układu pompowego
Języki publikacji
EN
Abstrakty
EN
This paper presents the Direct Field Oriented Control (DFOC) scheme based on fuzzy logic speed controller without mechanical sensor (MRAS Observer) for a Double Stator Induction Motor fed by a two Pulse Width Modulation (PWM) voltage source inverters, by means of a photovoltaic solar panel using a maximum power point tracking (MPPT) control, dedicated to solar water pumping system (SWPS). So far several types of motors are used for solar water pumping systems and to the authors best knowledge; this is the first attempt to apply DSIM with this proposed control method to such a system. The simulation results show that the direct field oriented control with fuzzy controller and MRAS observer, provides good dynamic performances and presents a great robustness and efficiency.
PL
W artykule przedstawiono schemat Direct Field Oriented Control (DFOC) oparty na regulatorze prędkości z logiką rozmytą bez czujnika mechanicznego (MRAS Observer) dla silnika indukcyjnego z podwójnym stojanem zasilanego z dwóch falowników napięcia z modulacją szerokości impulsu (PWM), za pomocą fotowoltaiki panel słoneczny wykorzystujący sterowanie śledzeniem maksymalnego punktu mocy (MPPT), dedykowany do słonecznego systemu pompowania wody (SWPS). Jak dotąd, według najlepszej wiedzy autorów, w solarnych systemach pompowania wody stosowanych jest kilka typów silników; jest to pierwsza próba zastosowania DSIM z tą proponowaną metodą sterowania do takiego systemu. Wyniki symulacji pokazują, że bezpośrednie sterowanie zorientowane na pole z kontrolerem rozmytym i obserwatorem MRAS zapewnia dobre osiągi dynamiczne i charakteryzuje się dużą wytrzymałością i wydajnością.
Rocznik
Strony
85--91
Opis fizyczny
Bibliogr. 34 poz., rys., tab.
Twórcy
  • LSTE Laboratory, University Mustapha Stambouli of Mascara, Algeria
  • Materials, Energy Systems Technology and Environment Laboratory, Université de Ghardaia, Algeria
autor
  • Department of Electrical Engineering, ESSA of Tlemcen, Algeria
  • ICEPS Laboratory, Department of Electrical, University of Djillali Liabes Sidi Bel Abbes, Algeria
  • Faculty of Sciences and Technologies, University of M’sila, Algeria
Bibliografia
  • [1] R. Sadouni, A. Meroufel, S. Djriou, “Study and Simulation of Direct Torque Control (DTC) for a Six Phase Induction Machine (SPIM)”. International journal of energy, Issue 2, Vol. 7, 2013. pp: 31-37.
  • [2] R. Sadouni, A. Meroufel, S. Djriou, A. Kheldoun, A “Fuzzy Sliding Mode Robust Control for a Field Oriented Dual Star Induction Machine Fed by Photovoltaic Power Supply with MPPT Algorithm”. The Mediterranean Journal of Measurement and Control, Issue 4, Vol. 12, 2016. pp: 654-663.
  • [3] S. Djeriou, A. Kheldoun, R. Sadouni, “Fuzzy indirect field oriented control of a dual star induction motor water pumping system fed by photovoltaic generator”. Engineering Intelligent Systems, Issue 2, Vol. 23, 2015. pp: 63-76.
  • [4] K. Meah, S. Fletcher, S. Ula, “Solar photovoltaic water pumping for remote locations”. Renewable and Sustainable Energy Reviews, 12, 2008. 472–487.
  • [5] M. Akbaba, I. Qamber, A. Kamal, “Matching of separately excited dc motors to photovoltaic generators for maximum power output”. Solar Energy, 63, 1989. 375–385.
  • [6] J. Appelbum, “Starting and steady state characteristic of DC motor powered by solar cell generator”. IEEE Trans. on Energy Conversion, 1, 1986. 17–27.
  • [7] M. Kolhe, J.C. Joshi, D.P. Kothari, “Performance Analysis of a Directly Coupled Photovoltaic Water- Pumping System”. Trans. on Energy Conversion 19, (2004). 613–618.
  • [8] Z. Abidin Firatoglu, B. Yesilata, “New approaches on the optimization of Directly Coupled photovoltaic Water- Pumping System”. Solar Energy 77, (2004). 81–93.
  • [9] A. Terki, A. Moussi, A. Betka, N. Terki, “An improved efficiency of fuzzy logic control of PMBLDC for PV pumping system”. Applied Mathematical Modelling, 36, (2012). 934–944.
  • [10] M. Nabil, S.M. Allam, E.M. Rashed, “Performance improvement of a photovoltaic pumping system using synchronous reluctance motor”. Elect. Pow. Comp and Systems, 41, 2013. 447-464.
  • [11] C. Gopal, M. Mohanraj, P. Chandramohan, P. Chandrasekar, ”Renewable energy source water pumping systems_ A literature review”. Renewable and Sustainable Energy Reviews, 25, 2013. 351–370.
  • [12] J.V.M. Caracas, G.C. Farias, L.F.M. Teixeira, L.A.S. Ribeiro,“Implementation of a High-efficiency, High-lifetime, and low-cost Converter for an Autonomous Photovoltaic Water Pumping system”. IEEE, Trans on Industry Applications, Vol. 50, No. 1, 2014.
  • [13] R. Sadouni, A. Meroufel, “Indirect Rotor Field-oriented Control (IRFOC) of a Dual Star Induction Machine (DSIM) Using a Fuzzy Controller”. Acta Polytechnica Hungarica, Issue 4, Vol. 9, 2012. pp: 177-192.
  • [14] M.H. Lazreg, A. Bentaallah, “Sensorless fuzzy sliding-modecontrol of the double-star induction motor using a sliding-modeobserver”. Elektrotehniški Vestnik 85(4): 169-176, 2018.
  • [15] C.S. Chin, P. Neelakantan, H.P. Yoong, K.T.K. Teo, “Fuzzy Logic Based MPPT for Photovoltaic Modules Influenced by Solar Irradiation and Cell Temperature”. IEEE, 2011.
  • [16] S. Arezki, M. Boudour, “Simulation and Modeling of a Photovoltaic System Adapted by a MPPT control reaction, Application on a DSIM”. 2010 IEEE International Energy Conference, IEEE, 2010.
  • [17] S. Djeriou, “Performance Improvement of Photovoltaic Pumping System”. PhD Thesis, Institute of Electrical and Electronic Engineering. University of Boumerdes, 2018.
  • [18] G.K. Singh, K. Nam, S.K. Lim, “A simple indirect field-oriented control scheme for multiphase induction machine”. IEEE Trans. Ind. Elect., vol. 52, no. 4, pp. 1177–1184, August 2005.
  • [19] R. Sadouni, A. Meroufel, “Performances comparative study of Field Oriented Control (FOC) and Direct Torque Control (DTC) of Dual Three Phase Induction Motor (DTPIM)”. International Journal of Circuits, Systems and Signal Processing, Issue 2, Volume 6, 2012, pp: 163-170.
  • [20] P. Vidal, “Commande non-linéaire d’une machine asynchrone à double alimentation”, Thèse de Doctorat de l’Institut National Polytechnique de Toulouse, France, Décembre 2004.
  • [21] R. Bojoi, M. Lazzari, F. Profumo, A. Tenconi, “Digital Field-Oriented Control for Dual Three-Phase Induction Motor Drives”. IEEE Transactions On Industry Applications, Vol. 39, No.3, May/June 2003.
  • [22] E.M. Berkouk, S. Arezki, “Modélisation et Commande d’une Machine Asynchrone Double Etoile (MASDE) Alimentée par Deux Onduleurs à Cinq Niveaux à Structure NPC”. Conférence national sur le génie électrique, CNGE, Tiaret, Algérie, 2004.
  • [23] A. Igoudjil, Y. Boudjema, “Etude du changeur de fréquence à cinq niveaux à cellules imbriquées. Application à la conduite de la machine Asynchrone à Double Etoile”. Engineer memory, USTHB, Algiers, Algeria, 2006.
  • [24] D. Hadiouche, “Contribution à l’étude de la machine asynchrone double étoile modélisation, alimentation et structure”. Thèse de doctorat, PhD thesis, Université Henri Poincaré, Nancy-1, France, 2001.
  • [25] Z. Chen, A.C. Williamson, “Simulation Study of a Double Three Phase Electric Machine”. Proc. ICEM conf. on Electric Machine, Istanbul, Turkey, 1998.
  • [26] R. Kumar, B. Singh, A. Chandra, Al-haddad K, “Solar OV array water pumping using BLDC motor drive with boost-buck converter”. Proceedings of the IEEE Energy Conversion Congress and Exposition ECCE; 2015. p. 5741-5748.
  • [27] M. Thierry, G. Christian, J. Charles, R. Benoît, “A simplified but accurate prevision method for along the sun PV pumping systems”. Sol Energy 2008; 82 (11): 1009–1020.
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  • [29] G.C. Hwang, S.C. Lin, “A stability approach to fuzzy control design for non linear systems”. Fuzzy Sets Syst., vol. 48, 279–287, 1992.
  • [30] T.S. Kwon, M.H. Shin, D.S. Hyun, “Speed sensorless stator flux-oriented control of induction motor in the field weakeningregion using Luenberger observer”. IEEE Trans. on PowerElectron., Vol. 20, No. 04, pp. 864–869, 2005.
  • [31] C. Schauder, “Adaptive Speed Identification for Vector Control of Induction Motors without Rotational Transducers”. IEEE Transactions on Industry Applications Vol. 28 No. 5 1054-1061, 1992.
  • [32] I. Rouh, “Contribution à la commande sans capteur de la machine asynchrone”. Thèse de Doctorat, Université de Henri Poincaré, Nancy, France, 2004.
  • [33] S. Maiti, C. Chakraborty, Y. Hori, M.C. Ta, “Model Reference Adaptive Controller-Based Rotor Resistance and Speed Estimation Techniques for Vector Controlled Induction Motor Drive Utilizing Reactive Power”. IEEE Transactions on Industrial Electronics Vol. 55 No. 2, 594-601, 2008.
  • [34] V. Vasic, S.N. Vukosavic, E. Levi, “A Stator Resistance Estimation Scheme for Speed Sensorless Rotor Flux Oriented Induction Motor Drives”. IEEE Transactions on Energy Conversion, Vol. 18 No. 4 476-483, 2003.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1f82346a-91ec-4026-8fb8-e9abdbc2d6ea
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