• DocumentCode
    1010745
  • Title

    Constrained Optimal Control of the Step-Down DC–DC Converter

  • Author

    Geyer, Tobias ; Papafotiou, Georgios ; Frasca, Roberto ; Morari, Manfred

  • Author_Institution
    Power Electron. Group, Univ. of Auckland, Auckland
  • Volume
    23
  • Issue
    5
  • fYear
    2008
  • Firstpage
    2454
  • Lastpage
    2464
  • Abstract
    In this paper, we propose a novel approach to the modeling and controller design of the synchronous step-down dc-dc converter. We introduce a hybrid converter model that is valid for the whole operating regime and captures the different modes of operation. Based on this model, we formulate and solve a constrained optimal control problem. This allows a systematic controller design that achieves the regulation of the output voltage to its reference despite input voltage and output load variations while satisfying the constraints on the duty cycle and the inductor current. The resulting state-feedback control law is of piecewise affine form, which can be easily stored and implemented in a lookup table. A Kalman filter is added to account for unmeasured load variations and to achieve zero steady-state output voltage error. Experimental results demonstrate the potential advantages of the proposed control methodology.
  • Keywords
    DC-DC power convertors; Kalman filters; optimal control; state feedback; table lookup; Kalman filter; constrained optimal control; duty cycle; inductor current; lookup table; state-feedback control; synchronous step-down dc-dc converter; systematic controller design; Automatic control; DC-DC power converters; Inductors; Load management; Optimal control; Power electronics; Proportional control; Pulse width modulation converters; Switching converters; Voltage control; DC–DC converter, power electronics; hybrid system; model predictive control (MPC); optimal control; piecewise-affine (PWA) system;
  • fLanguage
    English
  • Journal_Title
    Power Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8993
  • Type

    jour

  • DOI
    10.1109/TPEL.2008.2002057
  • Filename
    4689456