A Self-Learning Solution for Torque Ripple Reduction for Non-Sinusoidal Permanent Magnet Motor Drives Based on Artificial Neural Networks
type: Distribution
access URL: https://hal.science/hal-00794383
format: HTML
issued: 2026-05-14T04:18:03.616256
modified: 2026-05-14T04:18:03.541224

test_moissonnage_selune
type: Agent

A Self-Learning Solution for Torque Ripple Reduction for Non-Sinusoidal Permanent Magnet Motor Drives Based on Artificial Neural Networks
type: Dataset
contact point: Organization
  fn: CCSD
keyword: permanent-magnet-synchronous-motor
keyword: physcondcm-sphysics-physicscondensed-matter-cond-matsuperconductivity-cond-matsupr-con
keyword: neuro-controller
keyword: homopolar-current
keyword: cogging-torque
keyword: infoeu-reposemanticsarticle
keyword: spielecengineering-sciences-physicselectromagnetism
keyword: torque-ripple
keyword: adaline
keyword: spinrjengineering-sciences-physicselectric-power
keyword: journal-articles
landing page: 0278-0046
description: International audience
issued: 2026-05-14T04:18:03.573705
language: en
modified: 2026-05-14T04:18:03.573710