Model Predictive Control for a Full Bridge DC/DC Converter

This paper investigates the implementation of both linear model predictive control (LMPC) and nonlinear model predictive control (NMPC) to a full bridge dc/dc converter under starting, overload, and load step change conditions. The control objective is to regulate the output voltage without violatin...

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Bibliographic Details
Published in:IEEE transactions on control systems technology 2012-01, Vol.20 (1), p.164-172
Main Authors: Yanhui Xie, Ghaemi, R., Jing Sun, Freudenberg, J. S.
Format: Article
Language:English
Subjects:
Applied sciences
Bridge circuits
Computer science
control theory
systems
Control
Control theory. Systems
Converters
Convertors
DC-DC power converters
Direct current
Electric potential
Electrical engineering. Electrical power engineering
Electrical machines
Exact sciences and technology
Full bridge dc/dc converter
integrated perturbation analysis and sequential quadratic programming (InPA-SQP)
linear model predictive control (LMPC)
Mathematical models
Modelling and identification
nonlinear model predictive control (NMPC)
Observers
Optimal control
Predictive control
Predictive models
Sampling
Voltage
Voltage control
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Summary:This paper investigates the implementation of both linear model predictive control (LMPC) and nonlinear model predictive control (NMPC) to a full bridge dc/dc converter under starting, overload, and load step change conditions. The control objective is to regulate the output voltage without violating the peak current constraint. The integrated perturbation analysis and sequential quadratic programming method is employed to solve the nonlinearly constrained optimal control problems with 300 μ s sampling time. The experimental results reveal that both the LMPC and NMPC schemes can successfully achieve voltage regulation and peak current protection. The experimental results are reported and several observations, seemingly counterintuitive, are analyzed to offer insight into the use of MPC for these challenging applications.
ISSN:1063-6536
1558-0865
DOI:10.1109/TCST.2011.2107575