Artificial Neural Network-Based Voltage Control in a DC-DC Converter using a Predictive Model

This paper proposes an ANN-based controller in a DC-DC converter to regulate the output voltage. The learning process to determine the optimal switching conditions in the converter is implemented by using a data set of model predictive control operation. This process is developed in Matlab-Simulink and once the ANN is fine-tuned, it is implemented in a microcontroller to regulate the output voltage in a Buck converter prototype. The proposed control algorithm is simple and also reduces the computational cost in the final implementation.