Finite-control-set model predictive control of interleaved DC-DC boost converter Based on Kalman observer

A finite control set model predictive control (FCS-MPC) method combining with a Kalman observer is proposed to control an interleaved DC-DC boost converter. The optimal switching control signals are obtained by the FCS-MPC to keep the minimal inductor current error with the advantage of fast calculation. The time delay from sampling is compensated in FCS-MPC. And a Kalman observer is designed to obtain the load variation for model correction, which can diminish the disturbance. Moreover, it can estimate the voltage error and its integration, which is used to dynamically compensate the current reference calculated from power balance equation. In this way, the robustness of the FCS-MPC can be improve. The proposed control method is validated both by simulation and experiment. The results show that compared with PI and ST controllers, the robustness of the proposed approach is improved both in load and input voltage changes.