Model predictive control for disturbance rejection and robust stability in Buck-Boost converter

The Buck-Boost converter with pulse width modulator has a large impact on power industry in energy management, specifically for electronic devices. In this paper the sub-optimal model predictive control algorithm applied to Buck-boost converter, which assured robust stability of system. Lyapunov function was used to ensure the constraints of model predictive cost function. In most of DC-DC converters, simple current control method is used for stability of system. This algorithm based on simpler optimization problems, which can be solved faster, and still have prior robust stability and discard all disturbances.