• DocumentCode
    46809
  • Title

    Sampled Data Model Predictive Control of a Voltage Source Inverter for Reduced Harmonic Distortion

  • Author

    Almer, Stefan ; Mariethoz, Sebastien ; Morari, Manfred

  • Author_Institution
    Autom. Control Lab., Swiss Fed. Inst. of Technol., Zurich, Switzerland
  • Volume
    21
  • Issue
    5
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    1907
  • Lastpage
    1915
  • Abstract
    This brief considers model predictive control of switched mode power converters using a hybrid sampled data model. The goal of the approach is to synthesize a controller that achieves both good dynamic performance and low harmonic distortion at steady state. The suggested control approach takes the switched nature of the converter into account in both the system model and the control objective. This has two main advantages. First, it removes the need for the low-pass filters which are conventionally applied to the state measurements to attenuate the switching ripple. This implies that improved dynamic performance can be obtained. Second, it penalizes the ripple deviation from the reference, which means that reduced harmonic distortion can be obtained at steady state.
  • Keywords
    PWM invertors; control system synthesis; predictive control; sampled data systems; switching convertors; control objective; controller synthesis; dynamic performance improvement; harmonic distortion reduction; hybrid sampled data model predictive control; ripple deviation penalization; steady state; switched mode power converters; system model; voltage source inverter; Data models; Harmonic distortion; Inverters; Pulse width modulation; Switches; Voltage control; Inductance-capacitor-inductance (LCL) filter; model predictive control (MPC); optimal pulse-width modulation (PWM); sampled data model; switched mode power converter;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2012.2214777
  • Filename
    6311438