Predictive control of a current source converter operating with low switching frequency

M. Rivera, S. Kouro, J. Rodriguez, B. Wu, J. Espinoza

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Citations (Scopus)

Abstract

This paper presents a novel model predictive control method for current source converters (CSC) following the duality with voltage source converters (VSC). In VSC the predictive control is applied to the output current, while in this work the CSC is controlled through the output voltage. The method is based on the discrete prediction model of the system, including the converter and output filter. The model is used to predict future behavior of the system variables for each switching state of the converter. The predictions are evaluated in a cost function that weights the level of accomplishment of the control goals. The switching state with best performance is then generated. The proposed algorithm predicts the output terminal voltages (includes the output filter capacitors), ensuring sinusoidal voltage generation without the need of cascaded control loops, coordinate transformations and modulation schemes found in classic solutions. In addition, low switching frequency is imposed by including the switching frequency in the cost function. Simulation results show a preliminary validation of the proposed control scheme, with comparable performance to the classical solutions, especially in terms of the current and voltage harmonic distortion.

Original languageEnglish
Title of host publicationProceedings, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Pages674-679
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2012
Event38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012 - Montreal, QC, Canada
Duration: 25 Oct 201228 Oct 2012

Other

Other38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012
Country/TerritoryCanada
CityMontreal, QC
Period25/10/1228/10/12

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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