• DocumentCode
    3122142
  • Title

    Model Predictive Control in Power Electronics: A Hybrid Systems Approach

  • Author

    Geyer, Tobias ; Papafotiou, Georgios ; Morari, Manfred

  • Author_Institution
    Automatic Control Laboratory, ETH Zentrum - ETL, Swiss Federal Institute of Technology, CH–8092 Zürich, Switzerland geyer@control.ee.ethz.ch
  • fYear
    2005
  • fDate
    12-15 Dec. 2005
  • Firstpage
    5606
  • Lastpage
    5611
  • Abstract
    The field of power electronics poses challenging control problems that cannot be treated in a complete manner using traditional modelling and controller design approaches. The main difficulty arises from the hybrid nature of these systems due to the presence of semiconductor switches that induce different modes of operation and operate with a high switching frequency. Since the control techniques traditionally employed in industry feature a significant potential for improving the performance and the controller design, the field of power electronics invites the application of advanced hybrid systems methodologies. The computational power available today and the recent theoretical advances in the control of hybrid systems allow one to tackle these problems in a novel way that improves the performance of the system, and is systematic and implementable. In this paper, this is illustrated by two examples, namely the Direct Torque Control of three-phase induction motors and the optimal control of switch-mode dc-dc converters.
  • Keywords
    Control systems; Electrical equipment industry; Electronics industry; Industrial control; Power electronics; Power semiconductor switches; Power system modeling; Predictive control; Predictive models; Switching frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
  • Print_ISBN
    0-7803-9567-0
  • Type

    conf

  • DOI
    10.1109/CDC.2005.1583055
  • Filename
    1583055