A Stabilizing Model Predictive Controller for Voltage Regulation of a DC/DC Boost Converter

摘要

This brief proposes a cascade voltage control strategy for the dc/dc converter utilizing a model predictive control (MPC) in the inner loop. The proposed MPC minimizes a cost function at each time step in the receding horizon manner and the corresponding optimal solution is obtained from a predefined function not relying on a numeric algorithm. It is shown that the MPC makes the capacitor voltage and the inductor current globally convergent in the presence of input constraints. State constraints also can be taken into account in the proposed MPC. Following the conventional cascade voltage control scheme, a Proportional-Integral (PI) controller is adopted in the outer loop. The experimental results show that the closed-loop performance is superior to the classical cascade PI control scheme.