SchGen introduces a semantic code representation and a human-agent dataset pipeline to train LLMs for PCB schematic generation from text, reporting better wire connectivity and functional correctness than baselines.
Design Optimization Methodology for High-Frequency Rotary Transformers for Contactless Power Transfer Systems
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A driving-cycle-aware shape and topology optimization pipeline for IPMSMs, using k-means clustering, NGnet, and splines, achieves up to 10% permanent-magnet reduction with maintained torque and near-reference efficiency, validated by manufacturing and testing two rotor designs.
Analytical model for miniature rotary transformers derives magnetizing and leakage inductances via magnetic equivalent circuit including fringing and air gaps, validated with FEA and experiments.
An extremum seeking control based adaptive approach compensates position sensor harmonics in PMSM drives and is experimentally validated under varying conditions against a lookup table method.
citing papers explorer
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Driving-Cycle-Aware Shape and Topology Optimization of an Interior Permanent Magnet Synchronous Machine for a Traction Drive
A driving-cycle-aware shape and topology optimization pipeline for IPMSMs, using k-means clustering, NGnet, and splines, achieves up to 10% permanent-magnet reduction with maintained torque and near-reference efficiency, validated by manufacturing and testing two rotor designs.