Abstract : This work introduces a tool for the optimization of
CMOS integrated spiral inductors. The main objective of this tool is to
offer designers a first approach for the determination of the inductor
layout parameters. The core of the tool is a Genetic Algorithm (GA)
optimization procedure where technology constraints on the inductor
layout parameters are considered. Further constraints regarding inductor
design heuristics are also accounted for. Since the layout parameters
are inherently discrete due to technology and topology constraints,
discrete variable optimization techniques are used. The Matlab GA
toolbox is used and the modifications on the GA functions, yielding
technology feasible solutions is presented. For the sake of efficiency
and simplicity the pi-model is used for characterizing the inductor. The
validity of the design results obtained with the tool, is checked
against circuit simulation with ASITIC.
Luis M. Camarinha-Matos; Pedro Pereira; Luis Ribeiro. First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2010, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-314, pp.513-520, 2010, Emerging Trends in Technological Innovation. 〈10.1007/978-3-642-11628-5_57〉
https://hal.inria.fr/hal-01060777
Contributeur : Hal Ifip
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Soumis le : vendredi 17 novembre 2017 - 15:33:08
Dernière modification le : mercredi 29 novembre 2017 - 12:07:04
Document(s) archivé(s) le : dimanche 18 février 2018 - 15:43:47
Pedro Pereira, M. Helena Fino, Fernando Coito, Mário Ventim-Neves. GADISI - Genetic Algorithms Applied to the
Automatic Design of Integrated Spiral Inductors. Luis M. Camarinha-Matos; Pedro Pereira; Luis Ribeiro. First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2010, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-314, pp.513-520, 2010, Emerging Trends in Technological Innovation. 〈10.1007/978-3-642-11628-5_57〉. 〈hal-01060777〉
