Approximation of Permanent Magnet Motor Flux Distribution by Partially Informed Neural Networks

New results in the area of neural network modeling applied in electric drive automation are presented. Reliable models of permanent magnet motor flux as a function of current and rotor position are particularly useful in control synthesis—allowing one to minimize the losses, analyze motor performanc...

詳細記述

書誌詳細

出版年:	Energies
主要な著者:	Marcin Jastrzębski, Jacek Kabziński
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2021-09-01
主題:	permanent magnet synchronous motor magnetic flux model neural networks extreme learning machine
オンライン･アクセス:	https://www.mdpi.com/1996-1073/14/18/5619