Modeling of switching conditions of a multilevel inverter structure with neural networks in control environment

K. Gulez; N. Mutoh; F. Harashima; K. Ohnishi; H. Pastaci

doi:10.1109/PCC.2002.998172

Modeling of switching conditions of a multilevel inverter structure with neural networks in control environment

K. Gulez, N. Mutoh, F. Harashima, K. Ohnishi, H. Pastaci

Department of System Design Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In recent years, control systems, especially including IGBT-inverter and motor applications have assumed an increasingly important in the development and advancement of modern civilization and technology. The IGBT is a very well-known power device used in the most AC motor control applications. In this paper, the analytical model of the IGBT explained in the literature to match the drive circuit requirements is used with the neural network model of switching conditions for a multilevel inverter structure mathematical model considered with the passing capacitor ones of the device at the same time. This approximation method as a first step for a multilevel inverter model is a type of consideration to prevent switching harmonics and match EMI emissions, in some extent, of motor control systems. Thus, these kinds of applications supported by artificial neural networks (ANN) enable the development of really effective AC drive control with ever lower power dissipation system or hardware and ever more accurate control structures.

Original language	English
Title of host publication	Proceedings of the Power Conversion Conference-Osaka 2002, PCC-Osaka 2002
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1363-1368
Number of pages	6
Volume	3
ISBN (Print)	0780371569, 9780780371569
DOIs	https://doi.org/10.1109/PCC.2002.998172
Publication status	Published - 2002
Event	Power Conversion Conference-Osaka 2002, PCC-Osaka 2002 - Osaka, Japan Duration: 2002 Apr 2 → 2002 Apr 5

Other

Other	Power Conversion Conference-Osaka 2002, PCC-Osaka 2002
Country/Territory	Japan
City	Osaka
Period	02/4/2 → 02/4/5

Keywords

artificial neural networks
motor control systems
multilevel inverter
passing capacitors
power electronic system
switching conditions

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/PCC.2002.998172

Cite this

Gulez, K., Mutoh, N., Harashima, F., Ohnishi, K., & Pastaci, H. (2002). Modeling of switching conditions of a multilevel inverter structure with neural networks in control environment. In Proceedings of the Power Conversion Conference-Osaka 2002, PCC-Osaka 2002 (Vol. 3, pp. 1363-1368). Article 998172 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PCC.2002.998172

Modeling of switching conditions of a multilevel inverter structure with neural networks in control environment. / Gulez, K.; Mutoh, N.; Harashima, F. et al.
Proceedings of the Power Conversion Conference-Osaka 2002, PCC-Osaka 2002. Vol. 3 Institute of Electrical and Electronics Engineers Inc., 2002. p. 1363-1368 998172.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gulez, K, Mutoh, N, Harashima, F, Ohnishi, K & Pastaci, H 2002, Modeling of switching conditions of a multilevel inverter structure with neural networks in control environment. in Proceedings of the Power Conversion Conference-Osaka 2002, PCC-Osaka 2002. vol. 3, 998172, Institute of Electrical and Electronics Engineers Inc., pp. 1363-1368, Power Conversion Conference-Osaka 2002, PCC-Osaka 2002, Osaka, Japan, 02/4/2. https://doi.org/10.1109/PCC.2002.998172

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abstract = "In recent years, control systems, especially including IGBT-inverter and motor applications have assumed an increasingly important in the development and advancement of modern civilization and technology. The IGBT is a very well-known power device used in the most AC motor control applications. In this paper, the analytical model of the IGBT explained in the literature to match the drive circuit requirements is used with the neural network model of switching conditions for a multilevel inverter structure mathematical model considered with the passing capacitor ones of the device at the same time. This approximation method as a first step for a multilevel inverter model is a type of consideration to prevent switching harmonics and match EMI emissions, in some extent, of motor control systems. Thus, these kinds of applications supported by artificial neural networks (ANN) enable the development of really effective AC drive control with ever lower power dissipation system or hardware and ever more accurate control structures.",

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AB - In recent years, control systems, especially including IGBT-inverter and motor applications have assumed an increasingly important in the development and advancement of modern civilization and technology. The IGBT is a very well-known power device used in the most AC motor control applications. In this paper, the analytical model of the IGBT explained in the literature to match the drive circuit requirements is used with the neural network model of switching conditions for a multilevel inverter structure mathematical model considered with the passing capacitor ones of the device at the same time. This approximation method as a first step for a multilevel inverter model is a type of consideration to prevent switching harmonics and match EMI emissions, in some extent, of motor control systems. Thus, these kinds of applications supported by artificial neural networks (ANN) enable the development of really effective AC drive control with ever lower power dissipation system or hardware and ever more accurate control structures.

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Modeling of switching conditions of a multilevel inverter structure with neural networks in control environment

Abstract

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Keywords

ASJC Scopus subject areas

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