Explicit Model Predictive Control of DC-DC Switched-Mode Power Supplies With Extended Kalman Filtering

This paper presents a sensorless explicit model predictive control scheme for the dc-dc boost converter. No direct inductor current measurement is needed as the coil current is derived either via a static approximation or, for improved accuracy, through an extended Kalman filter. The estimate is use...

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Bibliographic Details
Published inIEEE transactions on industrial electronics (1982) Vol. 56; no. 6; pp. 1864 - 1874
Main Authors Beccuti, A.G., Mariethoz, S., Cliquennois, S., Shu Wang, Morari, M.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Boost converter
Coils
Current measurement
dc-dc extended Kalman filter (EKF)
DC-DC power converters
explicit model predictive control
Filtering
Inductors
Kalman filters
model predictive control (MPC)
Predictive control
Predictive models
Switched-mode power supply
switched-mode power supply (SMPS)
Yield estimation
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Summary:This paper presents a sensorless explicit model predictive control scheme for the dc-dc boost converter. No direct inductor current measurement is needed as the coil current is derived either via a static approximation or, for improved accuracy, through an extended Kalman filter. The estimate is used in the chosen optimal control problem formulation which yields the optimal input by intrinsically accounting for duty cycle and current constraints. The optimization problem is explicitly presolved offline so that the online effort is reduced to a simple search in the resulting lookup table. No online optimization is required, greatly facilitating physical implementation and allowing for experimental validation on an integrated dc-dc converter through a fixed-point DSP.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2009.2015748