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
Link To Document :
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