Increased Productivity Digital Power Converters Employing Machine Learning Control Algorithms and Adaptive Pulse Width Modulation
Year: 2025
Type: article
Abstract: In this work, we put forward a new approach to enhance digital power converter efficiency using machine learning control algorithms together with adaptive pulse width modulation (PWM) techniques. The proposed method enhances power conversion efficiency by 12.5%, while preserving better transient response pattern in comparison with classical controllers. The experimental results demonstrate that the total harmonic distortion (THD) is reduced to lower than 2.1% and the power efficiency single 96.2% at different loading conditions. The introduction of ANN for real-time parameter optimization produces promising results for next-generation power electronics oriented applications.
Authors: Basim Abdulkareem Farhan, Muna M. Salman, Ahmed Mazin Jalal
Language: English
Topic: Advanced DC-DC Converters
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4416012001