• DocumentCode
    820478
  • Title

    Sampled-data modeling and digital control of resonant converters

  • Author

    Elbuluk, M.E. ; Verghese, G.C. ; Kassakian, J.G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
  • Volume
    3
  • Issue
    3
  • fYear
    1988
  • fDate
    7/1/1988 12:00:00 AM
  • Firstpage
    344
  • Lastpage
    354
  • Abstract
    A sampled-data model to describe the dynamics of large signals and of small perturbations away from a cyclic steady state is developed. Associated transfer functions are obtained. The application of the model is illustrated by correlating the analysis with simulation results obtained for a series resonant DC/DC power converter. A discrete-time microprocessor-based controller, designed using the aforementioned dynamic model, has been built and tested using a simulation for a series-resonant DC/DC converter set up on the Massachusetts Institute of Technology Parity Simulator. The control methods implemented are state feedback and periodic output feedback, each designed to achieve a specified set of closed-loop poles. The controller has been implemented using the Parity Simulator generalized controller. Results of the closed-loop response showed an improvement over the open-loop response. In addition, the effect of the microprocessor computation delay on the closed-loop dynamics of the converter is investigated.<>
  • Keywords
    digital control; digital simulation; power convertors; power engineering computing; closed-loop poles; computation delay; digital control; digital simulation; feedback; microprocessor-based controller; modeling; power engineering computing; series resonant DC/DC power converter; transfer functions; Analytical models; DC-DC power converters; Digital control; Open loop systems; Output feedback; Resonance; State feedback; Steady-state; Testing; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Power Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8993
  • Type

    jour

  • DOI
    10.1109/63.17953
  • Filename
    17953