State Estimation of Buck Converter by Using Kalman Filter

Abstract

This study presents buck converter modeling and estimation of state variables in noisy and noiseless environments using Kalman Filter. Firstly, the linearized state space model of the buck converter is obtained and the simulation model is created. The output voltage of the buck converter, the state variables of inductor current and capacitor voltage are estimated using the Kalman state observer. The simulations are carried out in the MATLAB/Simulink software environment. Eventually the estimation of the state variables with the Kalman filter has been verified by comparing it with the model of the converter with maximum 7.10%%, minimum 0.0% error regarding to different scenarios.