Cost function-based predictive control for power converters

Patricio Cortés; José Rodríguez; René Vargas; Ulrich Ammann

doi:10.1109/IECON.2006.347996

Cost function-based predictive control for power converters

Patricio Cortés, José Rodríguez, René Vargas, Ulrich Ammann

Engineering School

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
Pages	2268-2273
Number of pages	6
DOIs	https://doi.org/10.1109/IECON.2006.347996
Publication status	Published - 2006
Event	IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics - Paris, France Duration: 6 Nov 2006 → 10 Nov 2006

Other

Other	IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
Country/Territory	France
City	Paris
Period	6/11/06 → 10/11/06

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/IECON.2006.347996

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title = "Cost function-based predictive control for power converters",

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.",

author = "Patricio Cort{\'e}s and Jos{\'e} Rodr{\'i}guez and Ren{\'e} Vargas and Ulrich Ammann",

year = "2006",

doi = "10.1109/IECON.2006.347996",

language = "English",

isbn = "1424401364",

pages = "2268--2273",

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note = "IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics ; Conference date: 06-11-2006 Through 10-11-2006",

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T1 - Cost function-based predictive control for power converters

AU - Cortés, Patricio

AU - Rodríguez, José

AU - Vargas, René

AU - Ammann, Ulrich

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

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U2 - 10.1109/IECON.2006.347996

DO - 10.1109/IECON.2006.347996

M3 - Conference contribution

AN - SCOPUS:50249124058

SN - 1424401364

SN - 9781424401369

SP - 2268

EP - 2273

BT - IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics

T2 - IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics

Y2 - 6 November 2006 through 10 November 2006

ER -

Cost function-based predictive control for power converters

Abstract

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