Gelistirilmis Tekil π Modeli Kullanan Bir Spiral indiiktor Degiskenlik Analizi Aigoritmasl

Ihsan Baturay Soysal; Emre Akso; Mustafa Berke Yelten

Gelistirilmis Tekil π Modeli Kullanan Bir Spiral indiiktor Degiskenlik Analizi Aigoritmasl

Translated title of the contribution: A variability analysis algorithm for spiral inductors using enhanced single-π model

Ihsan Baturay Soysal, Emre Akso, Mustafa Berke Yelten

Department of Electronics and Communication Engineering

Istanbul Technical University

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

2 Citations (Scopus)

Abstract

In this paper, surrogate modelling of on-chip spiral inductors along with their inherent physical characteristics is presented. Taking the skin effect into consideration, enhanced singlen model is employed to account for parasitic effects manifesting themselves at higher frequencies. Based on the circuit representation using Y-parameters, both shunt and differential models are explained by means of frequency-dependent impedance and quality factor graphics. In order to extract physical parameters from a predetermined inductance-frequency curve, we offered a novel algorithm which produces distinct combinations of model parameters that evolve through iterations until the result converges to the predetermined data within a 5% error margin. This methodology is a variability analysis approach that can explain which model parameters yield low Q factors due to process variations during integrated inductor manufacturing.

Translated title of the contribution	A variability analysis algorithm for spiral inductors using enhanced single-π model
Original language	Turkish
Title of host publication	2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	442-446
Number of pages	5
ISBN (Electronic)	9786050109238
Publication status	Published - 10 Feb 2017
Event	2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 - Bursa, Turkey Duration: 1 Dec 2016 → 3 Dec 2016

Publication series

Name	2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016

Conference

Conference	2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016
Country/Territory	Turkey
City	Bursa
Period	1/12/16 → 3/12/16

Bibliographical note

Publisher Copyright:
© 2016 The Chamber of Turkish Electrical Engineers.

Cite this

Soysal, I. B., Akso, E., & Yelten, M. B. (2017). Gelistirilmis Tekil π Modeli Kullanan Bir Spiral indiiktor Degiskenlik Analizi Aigoritmasl. In 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 (pp. 442-446). Article 7851974 (2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016). Institute of Electrical and Electronics Engineers Inc..

Soysal, Ihsan Baturay ; Akso, Emre ; Yelten, Mustafa Berke. / Gelistirilmis Tekil π Modeli Kullanan Bir Spiral indiiktor Degiskenlik Analizi Aigoritmasl. 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 442-446 (2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016).

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abstract = "In this paper, surrogate modelling of on-chip spiral inductors along with their inherent physical characteristics is presented. Taking the skin effect into consideration, enhanced singlen model is employed to account for parasitic effects manifesting themselves at higher frequencies. Based on the circuit representation using Y-parameters, both shunt and differential models are explained by means of frequency-dependent impedance and quality factor graphics. In order to extract physical parameters from a predetermined inductance-frequency curve, we offered a novel algorithm which produces distinct combinations of model parameters that evolve through iterations until the result converges to the predetermined data within a 5% error margin. This methodology is a variability analysis approach that can explain which model parameters yield low Q factors due to process variations during integrated inductor manufacturing.",

author = "Soysal, {Ihsan Baturay} and Emre Akso and Yelten, {Mustafa Berke}",

note = "Publisher Copyright: {\textcopyright} 2016 The Chamber of Turkish Electrical Engineers.; 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 ; Conference date: 01-12-2016 Through 03-12-2016",

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Soysal, IB, Akso, E & Yelten, MB 2017, Gelistirilmis Tekil π Modeli Kullanan Bir Spiral indiiktor Degiskenlik Analizi Aigoritmasl. in 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016., 7851974, 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016, Institute of Electrical and Electronics Engineers Inc., pp. 442-446, 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016, Bursa, Turkey, 1/12/16.

Gelistirilmis Tekil π Modeli Kullanan Bir Spiral indiiktor Degiskenlik Analizi Aigoritmasl. / Soysal, Ihsan Baturay; Akso, Emre; Yelten, Mustafa Berke.
2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 442-446 7851974 (2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016).

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

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AU - Yelten, Mustafa Berke

PY - 2017/2/10

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N2 - In this paper, surrogate modelling of on-chip spiral inductors along with their inherent physical characteristics is presented. Taking the skin effect into consideration, enhanced singlen model is employed to account for parasitic effects manifesting themselves at higher frequencies. Based on the circuit representation using Y-parameters, both shunt and differential models are explained by means of frequency-dependent impedance and quality factor graphics. In order to extract physical parameters from a predetermined inductance-frequency curve, we offered a novel algorithm which produces distinct combinations of model parameters that evolve through iterations until the result converges to the predetermined data within a 5% error margin. This methodology is a variability analysis approach that can explain which model parameters yield low Q factors due to process variations during integrated inductor manufacturing.

AB - In this paper, surrogate modelling of on-chip spiral inductors along with their inherent physical characteristics is presented. Taking the skin effect into consideration, enhanced singlen model is employed to account for parasitic effects manifesting themselves at higher frequencies. Based on the circuit representation using Y-parameters, both shunt and differential models are explained by means of frequency-dependent impedance and quality factor graphics. In order to extract physical parameters from a predetermined inductance-frequency curve, we offered a novel algorithm which produces distinct combinations of model parameters that evolve through iterations until the result converges to the predetermined data within a 5% error margin. This methodology is a variability analysis approach that can explain which model parameters yield low Q factors due to process variations during integrated inductor manufacturing.

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M3 - Konferans katkısı

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T3 - 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016

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BT - 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Soysal IB, Akso E, Yelten MB. Gelistirilmis Tekil π Modeli Kullanan Bir Spiral indiiktor Degiskenlik Analizi Aigoritmasl. In 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 442-446. 7851974. (2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016).

Gelistirilmis Tekil π Modeli Kullanan Bir Spiral indiiktor Degiskenlik Analizi Aigoritmasl

Abstract

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Bibliographical note

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