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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my-ukm.journal.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 |
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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://www.ukm.my/jkukm/index.php/jkukm |
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1643734998702882816 |
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13.211869 |