Model Predictive Control of Interleaved Boost Converter Based on Linear Extended State Observer

For the boost converter, the performance of conventional MPC method is influenced by parameter mismatches and load perturbation. To enhance the ability of disturbance rejection and dynamic response, this paper proposes a model predictive control (MPC) algorithm based on deadbeat method using a linear extended state observer (LESO). By incorporating parasitic resistance, disturbance of load resistance and input voltage as lumped disturbance, a compensation predictive model is designed by LESO. Furthermore, in order to reduce the current and voltage ripples, the carrier phase shifting pulse width modulation (CPS-PWM) is adopted in interleaved boost converter. Compared with the conventional PI-MPC, the proposed method has a better performance of dynamic and robustness.