Model Predictive Control of buck DC-DC converter with nonlinear inductor
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Date
2008
Publication Type
Conference Paper
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Abstract
A model predictive control (MPC) approach that deals with the nonlinear behavior of the inductor in the buck DC-DC converter is presented. Based on a discrete approximation of a coil dynamics, a piecewise affine model that better represents the B-H characteristics is derived. For the fast execution of the MPC algorithm, a concept of explicit solutions to MPC is adopted. Two different implementation schemes adapted to very fast sampling rates are outlined, one based on a binary search tree, the other on a polynomial approximation. Provided experimental results show that the proposed MPC scheme better limits the current and importantly, avoids the saturation of the magnetic core.
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published
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2008 IEEE 11th Workshop on Control and Modeling for Power Electronics
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252 - 259
Publisher
IEEE
Event
11th IEEE Workshop on Control and Modeling for Power Electronics (COMPEL 2008)
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Software
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03416 - Morari, Manfred (emeritus)