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Off‐line model predictive control of DCDC converter and its experimental verification
Author(s) -
Zanma Tadanao,
Asano Nobuhiro,
Ishida Muneaki
Publication year - 2009
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.20403
Subject(s) - converters , model predictive control , line (geometry) , control theory (sociology) , control (management) , computer science , optimal control , value (mathematics) , control engineering , engineering , voltage , mathematics , mathematical optimization , artificial intelligence , electrical engineering , geometry , machine learning
This paper presents an optimal control method for DCDC converters. The system is modeled as a mixed logical dynamical system so that the switching property can be considered explicitly. Specifically, the input of the system is confined to a discrete value whereas the output to be controlled is a continuous value. The optimal control law for the system is obtained by means of off‐line model predictive control. The effectiveness of the proposed method is illustrated through numerical simulations and experiments. Copyright © 2009 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.