Examples

Examples#

These examples train GradNet current and flux linkage maps from measured and FEM datasets and compare the trained maps with the data. The datasets in examples/datasets are 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). For the 5.6-kW machine, a FEM dataset with spatial harmonics is also provided. The trained models in examples/trained_models are loaded if they exist, so the examples run without training; delete a model file to retrain it. The scripts train_*.py train the FEM-data models used in the simulation examples of motulator (which has its own copies of the trained models it uses); they produce no figures and are shown without being executed.

28-kW PM-SyRM, train flux map, measured data

28-kW PM-SyRM, train flux map, measured data

5.6-kW PM-SyRM, train flux map, measured data

5.6-kW PM-SyRM, train flux map, measured data

5.6-kW PM-SyRM, train current map, measured data

5.6-kW PM-SyRM, train current map, measured data

28-kW PM-SyRM, train current map, measured data

28-kW PM-SyRM, train current map, measured data

5.6-kW PM-SyRM, train flux map, FEM data with spatial harmonics

5.6-kW PM-SyRM, train flux map, FEM data with spatial harmonics

5.6-kW PM-SyRM, train flux map, FEM data, no spatial harmonics

5.6-kW PM-SyRM, train flux map, FEM data, no spatial harmonics

5.6-kW PM-SyRM, train current map, FEM data with spatial harmonics

5.6-kW PM-SyRM, train current map, FEM data with spatial harmonics

Gallery generated by Sphinx-Gallery