IGBT modelling using Hspice curve-fitting optimisation method

This paper presents the development of the IGBT model using the HSPICE package running on a Sun Workstation. The two important characteristics of an IGBT, which were considered in modelling the device, are the conduction (static) and the switching (dynamic) characteristics. The IGBT model propose...

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Main Authors:	Norman Mariun, Ishak bin Aris, D. Liang, W. Shepherd
Format:	Article
Published:	2000
Online Access:	http://journalarticle.ukm.my/1365/ http://journalarticle.ukm.my/1365/

id	ukm-1365
recordtype	eprints
spelling	ukm-13652011-10-11T03:45:27Z http://journalarticle.ukm.my/1365/ IGBT modelling using Hspice curve-fitting optimisation method Norman Mariun, Ishak bin Aris, D. Liang, W. Shepherd, This paper presents the development of the IGBT model using the HSPICE package running on a Sun Workstation. The two important characteristics of an IGBT, which were considered in modelling the device, are the conduction (static) and the switching (dynamic) characteristics. The IGBT model proposed is discussed briefly to give background before a detailed development of the model is presented. The steps in modelling the IGBT using the curve-fitting optimisation method available within HSPICE are explained. The simulation results of varying the model parameters are discussed. On the basis of these results appropriate parameters for the IGBT model are determined for use in the curve-fitting optimisation method. Further, the test circuit simulation is presented to validate the static and dynamic parameters of the model chosen. The results are compared with manufacturer's data sheet for the static parameter and laboratory test results for the dynamic parameters. The results are found to be in good agreement 2000 Article PeerReviewed Norman Mariun, and Ishak bin Aris, and D. Liang, and W. Shepherd, (2000) IGBT modelling using Hspice curve-fitting optimisation method. Jurnal Kejuruteraan, 12 . http://www.ukm.my/jkukm/index.php/jkukm
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
description	This paper presents the development of the IGBT model using the HSPICE package running on a Sun Workstation. The two important characteristics of an IGBT, which were considered in modelling the device, are the conduction (static) and the switching (dynamic) characteristics. The IGBT model proposed is discussed briefly to give background before a detailed development of the model is presented. The steps in modelling the IGBT using the curve-fitting optimisation method available within HSPICE are explained. The simulation results of varying the model parameters are discussed. On the basis of these results appropriate parameters for the IGBT model are determined for use in the curve-fitting optimisation method. Further, the test circuit simulation is presented to validate the static and dynamic parameters of the model chosen. The results are compared with manufacturer's data sheet for the static parameter and laboratory test results for the dynamic parameters. The results are found to be in good agreement
format	Article
author	Norman Mariun, Ishak bin Aris, D. Liang, W. Shepherd,
spellingShingle	Norman Mariun, Ishak bin Aris, D. Liang, W. Shepherd, IGBT modelling using Hspice curve-fitting optimisation method
author_facet	Norman Mariun, Ishak bin Aris, D. Liang, W. Shepherd,
author_sort	Norman Mariun,
title	IGBT modelling using Hspice curve-fitting optimisation method
title_short	IGBT modelling using Hspice curve-fitting optimisation method
title_full	IGBT modelling using Hspice curve-fitting optimisation method
title_fullStr	IGBT modelling using Hspice curve-fitting optimisation method
title_full_unstemmed	IGBT modelling using Hspice curve-fitting optimisation method
title_sort	igbt modelling using hspice curve-fitting optimisation method
publishDate	2000
url	http://journalarticle.ukm.my/1365/ http://journalarticle.ukm.my/1365/
first_indexed	2023-09-18T19:33:08Z
last_indexed	2023-09-18T19:33:08Z
_version_	1777405094338232320

IGBT modelling using Hspice curve-fitting optimisation method

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