Performance improvement of a buck converter using Kalman filtering Online publication date: Wed, 15-Mar-2017
by Adriano Pereira; Cândido Duarte; Pedro Costa; Witold Gora
International Journal of Power Electronics (IJPELEC), Vol. 8, No. 2, 2017
Abstract: This paper presents a predictive current control algorithm for a synchronous buck converter using an extended Kalman filter (EKF) algorithm. The predictive approach avoids the need of current-sensing circuitry and provides insensitivity to Gaussian noise sources at the output of the buck converter, which is the same as the control loop input. The method requires a model for the buck converter, the EKF design, and current loop tuning. All these prerequisites are described in this work along with the implementation of the algorithm in a state of the art microcontroller. Simulation and experimental results show that while maintaining a good step response, the proposed method provides better results than standard methods when Gaussian noise is present at the output voltage.
Online publication date: Wed, 15-Mar-2017
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