GradNet Models
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These examples use our physics-constrained neural-network framework for dynamic modeling of saturable synchronous machines, including spatial harmonics [#Li2026]_. The gradient network (GradNet) architecture is based on [#Cha2025]_. This folder contains measured datasets for two PM synchronous reluctance machines: a four-pole 5.6-kW machine (Baldor ECS101M0H7EF4) and a 10-pole 28-kW machine (Brusa HSM1.10.18.04). Additionally, a FEM dataset with spatial harmonics is provided for the 5.6-kW machine.

.. rubric:: References

.. [#Li2026] Li, Foissner, Martin, Piippo, Hinkkanen, "Gradient networks for universal magnetic modeling of synchronous machines," 2026, https://arxiv.org/abs/2602.14947

.. [#Cha2025] Chaudhari, Pranav, Moura, "Gradient networks," IEEE Trans. Signal Process., 2025, https://doi.org/10.1109/TSP.2024.3496692
