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Finite set model predictive speed control of induction motor with long horizon

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Języki publikacji
EN
Abstrakty
EN
This paper presents predictive speed control of induction motor. The structure with finite control set and long prediction horizon is proposed. In methods with finite set of solutions there is assumed the use of signals that can be obtained in inverter only. Long prediction horizons allow better performance of predictive control structures to be achieved. In this case, long prediction horizon refers to systems with more than one prediction step. The weighting factors determine the properties of control structure via an optimization method using genetic algorithms. The results of simulation studies has been presented.
Wydawca
Rocznik
Strony
117--126
Opis fizyczny
Bibliogr. 11 poz., rys., tab.
Twórcy
autor
  • Wroclaw University of Science and Technology Department of Electrical Machines, Drives and Measurements, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
Bibliografia
  • [1]AGUILERA R., LEZANA P., QUEVEDO D., Finite-Control-Set Model Predictive Control With Improved Steady-State Performance, IEEE Trans. Industrial Informatics, 2012, Vol. 9, No. 2, 658–667.
  • [2]CORTÉS P., KAŹMIERKOWSKI M., KENNEL R., QUEVEDO D., Predictive Control in Power Electronics and Drives, IEEE Trans. Industrial Electronics, 2008, Vol. 55, No. 12, 4312–4324.
  • [3]DAVARI S., KHABURI D., KENNEL R., An Improved FCS–MPC Algorithm for an Induction Motor With an Imposed Optimized Weighting Factor, IEEE Trans. Power Electronics, 2012, Vol. 27, No. 3, 1540–1551.
  • [4]GEYER T., QUEVEDO D., Multistep Finite Control Set Model Predictive Control for Power Electronics, IEEE Trans. Power Electronics, 2014, Vol. 29, No. 12, 6836–6846.
  • [5]GEYER T., QUEVEDO D., Performance of Multistep Finite Control Set Model Predictive Control for Power Electronics, IEEE Trans. Power Electronics, 2014, Vol. 30, No. 3, 1633–1644.
  • [6]GEYER T., A comparison of control and modulation schemes for medium-voltage drives: Emerging predictive control concepts versus PWM-based schemes, IEEE Trans. Industry Applications, 2011, Vol. 47, No. 3, 1380–1389.
  • [7]MARIETHOZ S., DOMAHIDI A., MORARI M., High dynamic performance constrained optimal control of induction motors, 25th Annual IEEE Applied Power Electronics Conference and Exposition APEC, Palm Springs 2010, 1995–2001.
  • [8]PREINDL M., BOLOGNANI S., Model Predictive Direct Speed Control with Finite Control Set of PMSM Drive Systems, IEEE Trans. Power Electr., 2012, Vol. 28, No. 2, 1007–1015.
  • [9]RODRIGUEZ J., KAŹMIERKOWSKI M., ESPINOZA J., ZANCHETTA P., ABU-RUB H., YOUNG H., ROJAS C., State of the Art of Finite Control Set Model Predictive Control in Power Electronics, IEEE Trans. Industrial Informatics, 2013, Vol. 9, No. 2, 1003–1016.
  • [10]RODRIGUEZ J., CORTES P., Predictive Control of Power Converters and Electrical Drives, Wiley-IEEE, New York 2012, 117–127.
  • [11]SZABAT K., SERKIES P., Design and analysis of the Luenberger observers for three-inertia system, Scientific Papers of the Institute of Electrical Machines, Drives and Measurements of the Wrocław University of Technology, Studies and Research, 2009, Vol. 30, No. 29, 329–340.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6b13da54-89f6-4b2a-8cd8-e4e9eda3902e
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