Model Predictive Control of Non-Minimum Phase DC-DC Boost Converter

A perfect controller for DC-DC boost converter should be able to track the reference set point voltage that is higher than the source voltage along with minimum computational complexity. In this paper, a model predictive controller (MPC) is proposed for DC-DC boost converter control to regulate the output voltage under different operating conditions such as variation in input voltage and load current. The prediction is performed by the state space model and optimization is done using quadratic programming. The control performance of the converter is studied by varying prediction horizons with model disturbances. Finally, the hardware implementation of the proposed system is developed using dSPACE 1103 controller.