Guidelines for weighting factors design in model predictive control of power converters and drives

Patricio Cortés, Samir Kouro, Bruno La Rocca, René Vargas, José Rodríguez, José I. León, Sergio Vazquez, Leopoldo G. Franquelo

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

454 Citations (Scopus)

Abstract

Model Predictive Control with a finite control set has emerged as a promising control tool for power converters and drives. One of the major advantages is the possibility to control several system variables with a single control law, by including them with appropriate weighting factors. However, at the present state of the art, these coefficients are determined empirically. There is no analytical or numerical method proposed yet to obtain an optimal solution. In addition, the empirical method is not always straightforward, and no procedures have been reported. This paper presents a first approach to a set of guidelines that reduce the uncertainty of this process. First a classification of different types of cost functions and weighting factors is presented. Then the different steps of the empirical process are explained. Finally, results for several power converters and drives applications are analyzed, which show the effectiveness of the proposed guidelines to reach appropriate weighting factors and control performance.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Industrial Technology, ICIT 2009
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Industrial Technology, ICIT 2009 - Churchill, VIC, Australia
Duration: 10 Feb 200913 Feb 2009

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology

Other

Other2009 IEEE International Conference on Industrial Technology, ICIT 2009
Country/TerritoryAustralia
CityChurchill, VIC
Period10/02/0913/02/09

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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