Adaptive Charging for High-Efficiency Bridgeless CUK Converter
DOI:
https://doi.org/10.47392/IRJAEH.2025.0027Keywords:
Artificial Neural Network (ANN), Real-time Load Adaptability, Energy Efficiency, PID ControlAbstract
The design and implementation of a Bridgeless CUK Converter for multiple loads uses an intelligent controller based on NodeMCU for the proposed converter. The proposed converter has the benefit of a new bridgeless topology that improves efficiency and minimizes component count, hence lowering conduction losses. To regulate the output voltages with high accuracy under varying load conditions, and advanced control strategy incorporating PID control and ANN for adaptive tuning, thus achieving the optimal performance and real-time load adaptability. The combination of these techniques enables fast transient response, accurate voltage regulation, and improved dynamic performance. The proposed system is experimentally validated under dynamic load conditions and demonstrates high efficiency and low total harmonic distortion (THD). The results obtained demonstrate that the converter can obtain high improvements in power quality, output regulation, and system reliability. Such a design makes it suitable for applications requiring multiple regulated outputs, including IoT devices, medical equipment, and renewable energy systems. The intelligent control strategy integrated with the bridgeless topology promotes better energy efficiency and adaptability in the system and contributes to the development of advanced power management systems for modern industrial and residential applications.
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Copyright (c) 2025 International Research Journal on Advanced Engineering Hub (IRJAEH)
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.