DocumentCode
3444045
Title
Modelling and predictive control of a Buck-Boost DC-DC converter
Author
Gatto, G. ; Marongiu, I. ; Perfetto, A. ; Serpi, A.
Author_Institution
Dipt. di Ing. Elettr. ed Elettron., Univ. di Cagliari, Cagliari, Italy
fYear
2010
fDate
14-16 June 2010
Firstpage
1430
Lastpage
1435
Abstract
A predictive current control algorithm for the Buck-Boost DC-DC converter is presented in this paper. The continuous time model of the system is properly introduced, then, by imposing a proper PWM modulation pattern, its discrete time model is achieved. This last one is successfully employed in determining the steady state locus of the Buck-Boost converter, both in Continuous Conduction Mode (CCM) and Discontinuous Conduction Mode (DCM). A novel continuous time equivalent circuit of the converter is introduced too, with the aim of determining a ripple free representation of the state variables of the system, both over transient and steady state operation. Then, a predictive current control algorithm, suitable in both CCM and DCM, is developed and properly checked by means of computer simulations. The corresponding results have highlighted the effectiveness of the proposed modelling and of the predictive control algorithm, both in CCM and DCM.
Keywords
DC-DC power convertors; PWM power convertors; electric current control; equivalent circuits; predictive control; PWM modulation; buck boost DC-DC converter; buck boost converter; continuous time equivalent circuit; discontinuous conduction mode; equivalent circuits; predictive current control algorithm; Computer simulation; Continuous time systems; Current control; DC-DC power converters; Equivalent circuits; Prediction algorithms; Predictive control; Predictive models; Pulse width modulation; Steady-state; DC-DC Power Conversion; Equivalent circuits; Predictive Control;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics Electrical Drives Automation and Motion (SPEEDAM), 2010 International Symposium on
Conference_Location
Pisa
Print_ISBN
978-1-4244-4986-6
Electronic_ISBN
978-1-4244-7919-1
Type
conf
DOI
10.1109/SPEEDAM.2010.5542192
Filename
5542192
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