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VERY SIMPLE AND ACCURATE COMPUTER-AIDED-DESIGN (CAD) MODELS DEVELOPED BY GENETIC PROGRAMMING FOR THE QUASI-STATIC ANALYSIS OF UNSHIELDED SUSPENDED AND INVERTED MICROSTRIP LINES

Year 2017, Volume: 17 Issue: 2, 3303 - 3309, 27.07.2017

Celal Yıldız Hakan Kısıoglu

Abstract



Very simple computer-aided-design
(CAD) models are
introduced to determine the characteristic parameters such as effective
permittivities and characteristic impedances of unshielded suspended and
inverted microstrip lines. CAD models are determined with the use of the
genetic programming (GP). The results of CAD models are compared with the
results of quasi-static analysis, experimental works available in the
literature and a commercial electromagnetic simulator. The comparison results
clearly show that CAD models proposed in this work are in very good agreement
with the simulation, theoretical and experimental results for the suspended and
inverted microstrip lines. The design parameter ranges in this
work are 2 ≤ εr2 ≤ 20, 0.5 ≤ w/b ≤ 10, 0.1 ≤ a/b ≤ 1.5, and the
respective characteristic impedances of unshielded suspended and inverted
microstrip lines are 28Ω ≤ Z0 ≤ 185Ω, and 24 Ω ≤ Z0 ≤ 159
Ω, respectively. It is observed that
the accuracies of CAD models proposed in this paper are good enough for
the most practical cases.



Keywords

Suspended and inverted microstrip CAD models Genetic programming Characteristic impedance

References

  • [1] S. M. Musa, M. N. O. Sadiku, “Quasi-TEM modeling of open suspended and inverted substrate microstrip lines”, International Journal of Research and Reviews in Computer Science, vol. 3, pp. 1421-1424, 2012.
  • [2] P. Bhartia, I.J. Bahl, “Millimeter-wave engineering and applications”. Wiley, New York, 1984.
  • [3] R. Tomar, Y. M. Antar, P. Bhartia, “Computer-aided design (CAD) of suspended –substrate microstrips: an overview”, International Journal of RF and Microwave Computer-Aided Engineering, vol. 15, pp. 44-55, 2005.
  • [4] P. Pramanick, P. Bhartia, “Computer-aided design for millimeter wave finlines and suspended substrate microstrip lines”, IEEE Trans Microwave Theory Tech, vol. 33, pp. 1429-1434, 1985.
  • [5] R.S. Tomar, P. Bhartia, “New quasi-static models for computer aided design of suspended and inverted microstrip lines”, IEEE Trans Microwave Theory Tech, vol. 35, pp. 453-457, 1987.
  • [6] J. Svanica, “Analysis of multilayer microstrip lines by a conformal mapping method”, IEEE Trans Microwave Theory Tech, vol. 40, pp. 769-772, 1992.
  • [7] J. Svanica, “A simple quasi-static determination of basic parameters of multilayer microstrip and coplanar waveguide”, IEEE Microwave Guided Wave Lett, vol. 2, pp. 385-387, 1992.
  • [8] J. M. Schellenberg, “CAD models for suspended and inverted microstrip”, IEEE Trans Microwave Theory Tech, vol. 43, pp. 1247-1252, 1995.
  • [9] C. Yildiz, O. Saracoglu, “Simples models based on neural networks for suspended and inverted microstrip lines”, Microwave Optical Tech Lett, vol. 39, pp. 383-389, 2003.
  • [10] A. Baykasoğlu, H. Güllü, H. Çanakçı, L. Özbakır, “Prediction of compressive and tensile strength of limestone via genetic programming”, Expert Systems with Applications, vol. 35, pp. 111–123, 2008.
  • [11] J. R. Koza, F. H. Bennett III, D. Andre, M. A. Keane, F. Dunlap, “Automated synthesis of analog electrical circuits by means of genetic programming”, IEEE Transactions on Evolutionary Computation, vol. 1, pp. 109-128, 1997.
  • [12] L. S. Belisario, H. Pierreval, “Using genetic programming and simulation to learn how to dynamically adapt the number of cards in reactive pull systems”, Expert Systems with Applications, vol. 42, pp. 3129–3141, 2015.
  • [13] A. K. Patnaik, P. K. Bhuyan, “Application of genetic programming clustering in defining LOS criteria of urban street in Indian context”, Travel Behaviour and Society, vol. 3, pp. 38–50, 2016.
  • [14] H. Kişioğlu, C. Yıldız, “Sonlu genişlikte toprak düzlemine sahip eş düzlemli dalga kılavuzu için yeni sentez modelleri”, Elektrik, Elektronik ve Biomedikal Mühendisliği Konferansı, ELECO 2016-Bursa, 558-561.
  • [15] B. E. Spielmen, “Dissipation loss effects in isolated and coupled transmission lines”, IEEE Trans Microwave Theory Tech, vol. 25, pp. 648-656, 1977.
  • [16] E. Yamashita, “Variational method for the analysis of microstrip like transmission lines”, IEEE trans Microwave Theory Tech, vol. 16, pp. 529-535, 1968.
  • [17] M. V. Schneider, “Microstrip lines for microwave integrated circuits”, Bell System Tech J, vol. 48, pp. 1421-1444, 1969.
  • [18] J. R. Koza, “Genetic programming: on the programming of computers by means of natural selection” vol. 229, Cambridge, Massachusetts, London, England: The MIT Press, 1992.
  • [19] V. Babovic, M. Keijzer, “Genetic programming as a model induction engine”, Journal of Hydroinformatics, vol. 2, pp. 35-60, 2000.
  • [20] J. R. Koza, “Genetic Programming II: Automatic discovery of reusable programs”, MIT Press, 1994.
  • [21] V. Babovic, R. Rao, Evolutionary computing in hydrology, in advances in data-based approaches for hydrologic modeling and forecasting, World Scientific, 2010, pp. 347-369.
  • [22] M. D. Kramer, D. Zhang, “GAPS: A genetic programming system”, Computer Software and Applications Conference, 2000, pp. 614-619.
  • [23] K. Sickel, J. Hornegger, “Genetic programming for expert systems”, IEEE World Congress on Computational Intelligence, Barcelona, Spain, 2010, pp. 2695-2702.
  • [24] M. Willis, H. G. Hiden, P. Marenbach, B. McKay, G. A. Montague, “Genetic programming: an introduction and survey of applications”, In Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997, pp. 314–319.
  • [25] R. Poli, W. B. Langdom, N. F. McPhee, J. R. Koza, “Genetic Programming an introductory tutorial and a survey of techniques and applications”, Technical Report CES-475, ISSN: 1744-8050, 2007, pp. 927-1028.
  • [26] J.R. Koza, “Survey of genetic algorithms and genetic programming”, Microelectronics Communications Technology Producing Quality Products Mobile and Portable Power Emerging Technologies (WESCON/'95), San Francisco, California, 1995, pp. 589-594.

Year 2017, Volume: 17 Issue: 2, 3303 - 3309, 27.07.2017

Celal Yıldız Hakan Kısıoglu

Abstract

References

  • [1] S. M. Musa, M. N. O. Sadiku, “Quasi-TEM modeling of open suspended and inverted substrate microstrip lines”, International Journal of Research and Reviews in Computer Science, vol. 3, pp. 1421-1424, 2012.
  • [2] P. Bhartia, I.J. Bahl, “Millimeter-wave engineering and applications”. Wiley, New York, 1984.
  • [3] R. Tomar, Y. M. Antar, P. Bhartia, “Computer-aided design (CAD) of suspended –substrate microstrips: an overview”, International Journal of RF and Microwave Computer-Aided Engineering, vol. 15, pp. 44-55, 2005.
  • [4] P. Pramanick, P. Bhartia, “Computer-aided design for millimeter wave finlines and suspended substrate microstrip lines”, IEEE Trans Microwave Theory Tech, vol. 33, pp. 1429-1434, 1985.
  • [5] R.S. Tomar, P. Bhartia, “New quasi-static models for computer aided design of suspended and inverted microstrip lines”, IEEE Trans Microwave Theory Tech, vol. 35, pp. 453-457, 1987.
  • [6] J. Svanica, “Analysis of multilayer microstrip lines by a conformal mapping method”, IEEE Trans Microwave Theory Tech, vol. 40, pp. 769-772, 1992.
  • [7] J. Svanica, “A simple quasi-static determination of basic parameters of multilayer microstrip and coplanar waveguide”, IEEE Microwave Guided Wave Lett, vol. 2, pp. 385-387, 1992.
  • [8] J. M. Schellenberg, “CAD models for suspended and inverted microstrip”, IEEE Trans Microwave Theory Tech, vol. 43, pp. 1247-1252, 1995.
  • [9] C. Yildiz, O. Saracoglu, “Simples models based on neural networks for suspended and inverted microstrip lines”, Microwave Optical Tech Lett, vol. 39, pp. 383-389, 2003.
  • [10] A. Baykasoğlu, H. Güllü, H. Çanakçı, L. Özbakır, “Prediction of compressive and tensile strength of limestone via genetic programming”, Expert Systems with Applications, vol. 35, pp. 111–123, 2008.
  • [11] J. R. Koza, F. H. Bennett III, D. Andre, M. A. Keane, F. Dunlap, “Automated synthesis of analog electrical circuits by means of genetic programming”, IEEE Transactions on Evolutionary Computation, vol. 1, pp. 109-128, 1997.
  • [12] L. S. Belisario, H. Pierreval, “Using genetic programming and simulation to learn how to dynamically adapt the number of cards in reactive pull systems”, Expert Systems with Applications, vol. 42, pp. 3129–3141, 2015.
  • [13] A. K. Patnaik, P. K. Bhuyan, “Application of genetic programming clustering in defining LOS criteria of urban street in Indian context”, Travel Behaviour and Society, vol. 3, pp. 38–50, 2016.
  • [14] H. Kişioğlu, C. Yıldız, “Sonlu genişlikte toprak düzlemine sahip eş düzlemli dalga kılavuzu için yeni sentez modelleri”, Elektrik, Elektronik ve Biomedikal Mühendisliği Konferansı, ELECO 2016-Bursa, 558-561.
  • [15] B. E. Spielmen, “Dissipation loss effects in isolated and coupled transmission lines”, IEEE Trans Microwave Theory Tech, vol. 25, pp. 648-656, 1977.
  • [16] E. Yamashita, “Variational method for the analysis of microstrip like transmission lines”, IEEE trans Microwave Theory Tech, vol. 16, pp. 529-535, 1968.
  • [17] M. V. Schneider, “Microstrip lines for microwave integrated circuits”, Bell System Tech J, vol. 48, pp. 1421-1444, 1969.
  • [18] J. R. Koza, “Genetic programming: on the programming of computers by means of natural selection” vol. 229, Cambridge, Massachusetts, London, England: The MIT Press, 1992.
  • [19] V. Babovic, M. Keijzer, “Genetic programming as a model induction engine”, Journal of Hydroinformatics, vol. 2, pp. 35-60, 2000.
  • [20] J. R. Koza, “Genetic Programming II: Automatic discovery of reusable programs”, MIT Press, 1994.
  • [21] V. Babovic, R. Rao, Evolutionary computing in hydrology, in advances in data-based approaches for hydrologic modeling and forecasting, World Scientific, 2010, pp. 347-369.
  • [22] M. D. Kramer, D. Zhang, “GAPS: A genetic programming system”, Computer Software and Applications Conference, 2000, pp. 614-619.
  • [23] K. Sickel, J. Hornegger, “Genetic programming for expert systems”, IEEE World Congress on Computational Intelligence, Barcelona, Spain, 2010, pp. 2695-2702.
  • [24] M. Willis, H. G. Hiden, P. Marenbach, B. McKay, G. A. Montague, “Genetic programming: an introduction and survey of applications”, In Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997, pp. 314–319.
  • [25] R. Poli, W. B. Langdom, N. F. McPhee, J. R. Koza, “Genetic Programming an introductory tutorial and a survey of techniques and applications”, Technical Report CES-475, ISSN: 1744-8050, 2007, pp. 927-1028.
  • [26] J.R. Koza, “Survey of genetic algorithms and genetic programming”, Microelectronics Communications Technology Producing Quality Products Mobile and Portable Power Emerging Technologies (WESCON/'95), San Francisco, California, 1995, pp. 589-594.
There are 26 citations in total.

Details

Journal Section Articles
Authors

Celal Yıldız

Hakan Kısıoglu

Publication Date July 27, 2017
Published in Issue Year 2017 Volume: 17 Issue: 2

Cite

APA Yıldız, C., & Kısıoglu, H. (2017). VERY SIMPLE AND ACCURATE COMPUTER-AIDED-DESIGN (CAD) MODELS DEVELOPED BY GENETIC PROGRAMMING FOR THE QUASI-STATIC ANALYSIS OF UNSHIELDED SUSPENDED AND INVERTED MICROSTRIP LINES. IU-Journal of Electrical & Electronics Engineering, 17(2), 3303-3309.
AMA Yıldız C, Kısıoglu H. VERY SIMPLE AND ACCURATE COMPUTER-AIDED-DESIGN (CAD) MODELS DEVELOPED BY GENETIC PROGRAMMING FOR THE QUASI-STATIC ANALYSIS OF UNSHIELDED SUSPENDED AND INVERTED MICROSTRIP LINES. IU-Journal of Electrical & Electronics Engineering. July 2017;17(2):3303-3309.
Chicago Yıldız, Celal, and Hakan Kısıoglu. “VERY SIMPLE AND ACCURATE COMPUTER-AIDED-DESIGN (CAD) MODELS DEVELOPED BY GENETIC PROGRAMMING FOR THE QUASI-STATIC ANALYSIS OF UNSHIELDED SUSPENDED AND INVERTED MICROSTRIP LINES”. IU-Journal of Electrical & Electronics Engineering 17, no. 2 (July 2017): 3303-9.
EndNote Yıldız C, Kısıoglu H (July 1, 2017) VERY SIMPLE AND ACCURATE COMPUTER-AIDED-DESIGN (CAD) MODELS DEVELOPED BY GENETIC PROGRAMMING FOR THE QUASI-STATIC ANALYSIS OF UNSHIELDED SUSPENDED AND INVERTED MICROSTRIP LINES. IU-Journal of Electrical & Electronics Engineering 17 2 3303–3309.
IEEE C. Yıldız and H. Kısıoglu, “VERY SIMPLE AND ACCURATE COMPUTER-AIDED-DESIGN (CAD) MODELS DEVELOPED BY GENETIC PROGRAMMING FOR THE QUASI-STATIC ANALYSIS OF UNSHIELDED SUSPENDED AND INVERTED MICROSTRIP LINES”, IU-Journal of Electrical & Electronics Engineering, vol. 17, no. 2, pp. 3303–3309, 2017.
ISNAD Yıldız, Celal - Kısıoglu, Hakan. “VERY SIMPLE AND ACCURATE COMPUTER-AIDED-DESIGN (CAD) MODELS DEVELOPED BY GENETIC PROGRAMMING FOR THE QUASI-STATIC ANALYSIS OF UNSHIELDED SUSPENDED AND INVERTED MICROSTRIP LINES”. IU-Journal of Electrical & Electronics Engineering 17/2 (July 2017), 3303-3309.
JAMA Yıldız C, Kısıoglu H. VERY SIMPLE AND ACCURATE COMPUTER-AIDED-DESIGN (CAD) MODELS DEVELOPED BY GENETIC PROGRAMMING FOR THE QUASI-STATIC ANALYSIS OF UNSHIELDED SUSPENDED AND INVERTED MICROSTRIP LINES. IU-Journal of Electrical & Electronics Engineering. 2017;17:3303–3309.
MLA Yıldız, Celal and Hakan Kısıoglu. “VERY SIMPLE AND ACCURATE COMPUTER-AIDED-DESIGN (CAD) MODELS DEVELOPED BY GENETIC PROGRAMMING FOR THE QUASI-STATIC ANALYSIS OF UNSHIELDED SUSPENDED AND INVERTED MICROSTRIP LINES”. IU-Journal of Electrical & Electronics Engineering, vol. 17, no. 2, 2017, pp. 3303-9.
Vancouver Yıldız C, Kısıoglu H. VERY SIMPLE AND ACCURATE COMPUTER-AIDED-DESIGN (CAD) MODELS DEVELOPED BY GENETIC PROGRAMMING FOR THE QUASI-STATIC ANALYSIS OF UNSHIELDED SUSPENDED AND INVERTED MICROSTRIP LINES. IU-Journal of Electrical & Electronics Engineering. 2017;17(2):3303-9.
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