Prediction-based sampled-data control for DC-DC buck converters

In this paper, a novel prediction-based switching control approach is proposed for DC-DC buck converters. This approach can be implemented directly with digital devices, and no complicated modulation is involved. The buck converter is modeled as a sampled-data switched affine system. In order to avoid the delay of switching signal, a novel prediction approach is adopted. The switching law is designed based on a composite switched Lyapunov functional with reduced conservatism which guarantees the closed-loop stability under sampling. The effectiveness of the proposed method has been verified both with numerical simulation and with experiment on a laboratory prototype.