Direct voltage control of dc-dc boost converters using enumeration-based model predictive control

Petros Karamanakos, Tobias Geyer, Stefanos Manias

    Research output: Contribution to journalArticleScientificpeer-review

    271 Citations (Scopus)
    151 Downloads (Pure)

    Abstract

    This paper presents a model predictive control (MPC) approach for dc-dc boost converters. A discrete-time switched nonlinear (hybrid) model of the converter is derived, which captures both the continuous and the discontinuous conduction mode. The controller synthesis is achieved by formulating an objective function that is to be minimized subject to the model dynamics. The proposed MPC strategy, utilized as a voltage-mode controller, achieves regulation of the output voltage to its reference, without requiring a subsequent current control loop. Furthermore, a state estimation scheme is implemented that addresses load uncertainties and model mismatches. Simulation and experimental results are provided to demonstrate the merits of the proposed control methodology, which include a fast transient response and a high degree of robustness.

    Original languageEnglish
    Pages (from-to)968-978
    Number of pages11
    JournalIEEE Transactions on Power Electronics
    Volume29
    Issue number2
    DOIs
    Publication statusPublished - Feb 2014
    Publication typeA1 Journal article-refereed

    Keywords

    • DC-DC boost converter
    • hybrid system
    • model predictive control (MPC)
    • optimal control
    • voltage control

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

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