Nonlinear model predictive control of a buck converter with partially saturating inductor

In this work, a nonlinear model predictive control is proposed for a DC-DC boost converter, with a partially-saturating ferrite-core inductor. A nonlinear behavioral inductor model is exploited, identified through experimental measurements, which takes into account both magnetic saturation and losses. Simulation results show that the converter output voltage is correctly regulated by fulfilling the imposed current constraints. Comparisons with traditional control techniques are also presented.