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

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 conference › Paper › peer-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 language	English
Pages	648-653
Number of pages	6
Publication status	Published - 2002
Externally published	Yes
Event	Proceedings of the 2002 IEEE International Symposium on Intelligent Control - Vancouver, Canada Duration: 2002 Oct 27 → 2002 Oct 30

Other

Other	Proceedings of the 2002 IEEE International Symposium on Intelligent Control
Country/Territory	Canada
City	Vancouver
Period	02/10/27 → 02/10/30

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

Cite this

A new approximation method estimating Common Mode (CM) model impedance parameters for EMI emissions in motor drive system. / Gulez, Kayhan; Mutoh, Nobuyoshi; Ogata, Mitsukatsu et al.
2002. 648-653 Paper presented at Proceedings of the 2002 IEEE International Symposium on Intelligent Control, Vancouver, Canada.

Research output: Contribution to conference › Paper › peer-review

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

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.",

keywords = "EMC/EMI, Induction motors, Modeling, Neural networks, Simulation",

author = "Kayhan Gulez and Nobuyoshi Mutoh and Mitsukatsu Ogata and Fumio Harashima and Kouhei Ohnishi",

year = "2002",

language = "English",

pages = "648--653",

note = "Proceedings of the 2002 IEEE International Symposium on Intelligent Control ; Conference date: 27-10-2002 Through 30-10-2002",

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T1 - A new approximation method estimating Common Mode (CM) model impedance parameters for EMI emissions in motor drive system

AU - Gulez, Kayhan

AU - Mutoh, Nobuyoshi

AU - Ogata, Mitsukatsu

AU - Harashima, Fumio

AU - Ohnishi, Kouhei

PY - 2002

Y1 - 2002

N2 - 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.

AB - 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.

KW - EMC/EMI

KW - Induction motors

KW - Modeling

KW - Neural networks

KW - Simulation

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M3 - Paper

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T2 - Proceedings of the 2002 IEEE International Symposium on Intelligent Control

Y2 - 27 October 2002 through 30 October 2002

ER -

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

Abstract

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Keywords

ASJC Scopus subject areas

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