Cost function-based predictive control for power converters

Patricio Cortés, José Rodríguez, René Vargas, Ulrich Ammann

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

32 Citations (Scopus)

Abstract

This paper presents a cost function-based predictive control strategy and its application to the control of power converters and drives. Discrete-time models of the system are used to predict the behavior of the controlled variables for all the possible switching states of the converter. A cost function defines the desired behavior of the system. The switching state that minimizes this function is selected and applied during the next sampling period. Different variables of the system can be controlled by defining an appropriate cost function, depending on the objective of each specific application.

Original languageEnglish
Title of host publicationIECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
Pages2268-2273
Number of pages6
DOIs
Publication statusPublished - 2006
EventIECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics - Paris, France
Duration: 6 Nov 200610 Nov 2006

Other

OtherIECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
Country/TerritoryFrance
CityParis
Period6/11/0610/11/06

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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