Extended State Observer and Kalman Filter Based Control for DC-DC Buck Converter Subject to Disturbances and Noise

Direct current-direct current buck converters are widely used in industrial fields. In practical applications, parameter uncertainty, external disturbances and measurement noise affect the control performance of DC-DC buck converter. To deal with external disturbances and measurement noise in DC-DC buck converter, a control strategy combining extended state observer (ESO) and Kalman filter (KF) is proposed in this paper. The extended state observer is used to estimate the lumped disturbance of the DC-DC buck converter system. However, in order to achieve fast convergence in the control process, the observer chooses a large control gain, which results in severe noise amplification. To this end, the Kalman filter is used to filter the noise. The composite control method proposed in this paper can improve the robustness and voltage tracking performance of DC-DC buck converter. Simulation results verify the effectiveness of the proposed control method.