Optimization Design of Two-Stage Operational Amplifier with Frequency Compensation via Geometric Programming
An optimization design technique to obtain global solution for a two-stage operational amplifier (opamp) with frequency compensation is presented. This frequency compensation technique can adjust the equivalent resistance to guarantee that the phase margin is stable even though circumstance temperat...
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Published in | Shanghai jiao tong da xue xue bao Vol. 16; no. 6; pp. 648 - 651 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Heidelberg
Shanghai Jiaotong University Press
01.12.2011
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Subjects | |
Online Access | Get full text |
ISSN | 1007-1172 1995-8188 |
DOI | 10.1007/s12204-011-1205-5 |
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Summary: | An optimization design technique to obtain global solution for a two-stage operational amplifier (opamp) with frequency compensation is presented. This frequency compensation technique can adjust the equivalent resistance to guarantee that the phase margin is stable even though circumstance temperature varies. Geometric programming is used to optimize the component values and transistor dimensions. It is used in this analog integrated circuit design to calculate these parameters automatically. This globally optimal amplifier obtains minimum power while other specifications are fulfilled. |
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Bibliography: | 31-1943/U An optimization design technique to obtain global solution for a two-stage operational amplifier (opamp) with frequency compensation is presented. This frequency compensation technique can adjust the equivalent resistance to guarantee that the phase margin is stable even though circumstance temperature varies. Geometric programming is used to optimize the component values and transistor dimensions. It is used in this analog integrated circuit design to calculate these parameters automatically. This globally optimal amplifier obtains minimum power while other specifications are fulfilled. frequency compensation, two-stage operational amplifier (op-amp), geometric programming, global optimization ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 1007-1172 1995-8188 |
DOI: | 10.1007/s12204-011-1205-5 |