A new approximation method estimating Common Mode (CM) model impedance parameters for EMI emissions in motor drive system

Kayhan Gulez, Nobuyoshi Mutoh, Mitsukatsu Ogata, Fumio Harashima, Kouhei Ohnishi

Research output: Contribution to conferencePaperpeer-review

Abstract

Predicting and solving EMI emissions related to Common Mode (CM) ones in inverter (also, in pulse width modulation (PWM) inverter)-induction motor drive systems requires various frequency-dependent effects to be considered. Thus, the application of filter circuitry to prevent dependency on some parameters of the motor for Electro-Magnetic Interference (EMI) filter is considered. The way of the proposed neural network method allows another way to determine Common Mode (CM) impedance components on the application stage of EMI filter to prevent the EMI noise applying to the conducted electromagnetic emissions caused by power supply to Common Mode (CM) path of the motor drive system in control environment.

Original languageEnglish
Pages648-653
Number of pages6
Publication statusPublished - 2002 Dec 1
EventProceedings of the 2002 IEEE International Symposium on Intelligent Control - Vancouver, Canada
Duration: 2002 Oct 272002 Oct 30

Other

OtherProceedings of the 2002 IEEE International Symposium on Intelligent Control
CountryCanada
CityVancouver
Period02/10/2702/10/30

Keywords

  • EMC/EMI
  • Induction motors
  • Modeling
  • Neural networks
  • Simulation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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