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Assessment of Nonlinear Predictive Control Techniques for dc-dc Converters


Mircea Lazar, W.P.M.H. Heemels, G. Papafotiou, M. Morari

IFAC Nonlinear Control Design Symposium, Pretoria, South Africa

This article focuses on the application of two nonlinear predictive control strategies to fixed frequency switch-mode dc-dc converters. The first approach uses an averaged nonlinear model for predictions and provides an a priori robust stability guarantee for the resulting closed-loop system. The implementation of this scheme requires solving a single linear program on-line. The second approach employs a piecewise affine (PWA) approximation of the converter equations as prediction model and yields an explicit controller off-line, which allows for an a posteriori stability check. An assessment of the synthesis procedures and methodological characteristics is given and simulation results are shown to substantiate the effectiveness of the proposed approaches.


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% Autogenerated BibTeX entry
@InProceedings { LazEtal:2007:IFA_2923,
    author={Mircea Lazar and W.P.M.H. Heemels and G. Papafotiou and M. Morari},
    title={{Assessment of Nonlinear Predictive Control Techniques for
	  dc-dc Converters}},
    booktitle={IFAC Nonlinear Control Design Symposium},
    address={Pretoria, South Africa},
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