Automated Adaptive Resonance Control for High-Efficiency GaN Power Supply Units

**Abstract:** This paper presents a novel control architecture for gallium nitride (GaN) power supply units (PSUs) leveraging Automated Adaptive Resonance Theory (AART) for significantly enhanced efficiency and transient response. Current control methods often struggle to maintain optimal performance across the wide input voltage and load variations inherent in modern power systems. AART dynamically identifies and adapts to transient conditions, enabling near-optimal control parameters in real-time. The proposed system achieves a projected 5-10% improvement in overall efficiency and a 2x reduction in transient settling time compared to traditional feedback control methods, paving the way for more efficient and responsive GaN PSUs in high-power applications.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-22
DOI
https://doi.org/10.5281/zenodo.16928860
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Automated Adaptive Resonance Control for High-Efficiency GaN Power Supply Units

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Automated Adaptive Resonance Control for High-Efficiency GaN Power Supply Units

article en

Abstract

**Abstract:** This paper presents a novel control architecture for gallium nitride (GaN) power supply units (PSUs) leveraging Automated Adaptive Resonance Theory (AART) for significantly enhanced efficiency and transient response. Current control methods often struggle to maintain optimal performance across the wide input voltage and load variations inherent in modern power systems. AART dynamically identifies and adapts to transient conditions, enabling near-optimal control parameters in real-time. The proposed system achieves a projected 5-10% improvement in overall efficiency and a 2x reduction in transient settling time compared to traditional feedback control methods, paving the way for more efficient and responsive GaN PSUs in high-power applications.

Zenodo (CERN European Organization for Nuclear Research)
Freed–Hardeman University (US)
Affordable and clean energy
Openalex Percentile: Top 68%
Geochemistry and Geologic Mapping
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Automated Adaptive Resonance Control for High-Efficiency GaN Power Supply Units · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS