Abstract: This paper proposes a nonlinear magnetics model for Permanent Magnet Synchronous Machines that accurately captures the effects of magnetic saturation in the machine iron and variations in ...
The semiconductor industry is entering an era of unprecedented complexity, driven by advanced architectures such as Gate-All-Around (GAA) transistors, wide-bandgap materials like GaN and SiC, and ...
Abstract: The objective of this paper is to develop a physics-informed machine learning methodology for parametric modeling of permanent magnet synchronous machines (PMSMs). A deep neural network is ...
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