Адаптивне керування для підвищення енергоефективності у квазірезонансних імпульсних перетворювачах за умов динамічних навантажень

Modern demands for energy efficiency and power density are stimulating the transition to quasi-resonant converters capable of minimizing switching losses. This article systematizes the limitations of both classical linear regulators and common nonlinear approaches to power switch control. To increase the energy efficiency of quasi-resonant converters, a hybrid control architecture based on artificial intelligence is proposed. The task of an artificial intelligence control system is to ensure stability and increase the energy efficiency of switched-mode voltage converters. AI-based control options are considered, namely: neural networks, fuzzy logic, and reinforcement learning.