Accelerated design optimization of miniaturized microwave passives by design reusing and Kriging interpolation surrogates - Publication - Bridge of Knowledge

Your account

login

Search

Accelerated design optimization of miniaturized microwave passives by design reusing and Kriging interpolation surrogates

Abstract

Electromagnetic (EM) analysis has become ubiquitous in the design of microwave components and systems. One of the reasons is the increasing topological complexity of the circuits. Their reliable evaluation—at least at the design closure stage—can no longer be carried out using analytical or equivalent network representations. This is especially pertinent to miniaturized structures, where considerable EM cross-coupling effects occurring in densely arranged layouts affect the performance in a non-negligible manner. Although mandatory, EM-driven design is normally associated with significant computational expenses. Consequently, expediting the procedures that require massive simulations, such as parametric optimization, is a practical necessity. In this paper, a framework for accelerated parameter tuning is proposed. The keystones of our methodology are a set of pre-existing designs optimized for various design objectives, as well as kriging interpolation surrogates. The latter are constructed to yield—for a given set of performance specifications—a reasonably good starting point and to enable rapid optimization by providing the initial approximation of the Jacobian matrix of the circuit outputs. The proposed approach is validated using two compact impedance matching transformers designed within the objective spaces defined by wide ranges of operating bandwidths. As demonstrated, the average tuning cost corresponds to a few EM simulations of the respective circuit despite large numbers of adjustable parameters.

Citations

  • 9

    CrossRef

  • 0

    Web of Science

  • 9

    Scopus

Authors (2)

Cite as

Full text

download paper
downloaded 17 times
Publication version
Accepted or Published Version
License
Creative Commons: CC-BY-NC-ND open in new tab

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS no. 118, pages 1 - 8,
ISSN: 1434-8411
Language:
English
Publication year:
2020
Bibliographic description:
Pietrenko-Dąbrowska A., Kozieł S.: Accelerated design optimization of miniaturized microwave passives by design reusing and Kriging interpolation surrogates// AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS -Vol. 118, (2020), s.1-8
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.aeue.2020.153165
Bibliography: test
  1. Mayani MG, Asadi S, Pirhadi A, Mahani SM. Design and analysis of a super compact wide-band bandpass filter based on metamaterial resonators. AEU -Int J Electr Comm 2018; 97:79-84. https://doi.org/10.1016/j.aeue.2018.10.010. open in new tab
  2. Song L, He L. Research on dual-polarized circular waveguide antenna fed by L- shaped probes. AEU -Int J Electr Comm 2018; 83:156-167. https://doi.org/10.1016/j.aeue.2017.08.023. open in new tab
  3. Melgarejo JC, Ossorio J, Cogollos S, Guglielmi M, Boria VE, Bandler JW. On space mapping techniques for microwave filter tuning. IEEE Trans Microwave Theory Techn 2019; https://doi.org/10.1109/TMTT.2019.2944361. open in new tab
  4. Kurgan P, Koziel S. Selection of circuit geometry for miniaturized microwave components based on concurrent optimization of performance and layout area. AEU - Int J Electr Comm 2019; 108, 2019; 287-294. open in new tab
  5. https://doi.org/10.1016/j.aeue.2019.06.009. open in new tab
  6. Koziel S, Pietrenko-Dabrowska A. Reduced-cost electromagnetic-driven optimisation of antenna structures by means of trust-region gradient-search with sparse Jacobian updates. IET Microw Ant Propag 2019; 13:1646-1652. https://doi.org/10.1049/iet-map.2018.5879. open in new tab
  7. Merenda M, Felini C, Della Corte FG. A monolithic multisensor microchip with complete on-chip RF front-end. Sensors 2018; 18:110. https://doi.org/10.3390/s18010110. open in new tab
  8. Koziel S, Kurgan P. Rapid design of miniaturized branch-line couplers through concurrent cell optimization and surrogate-assisted fine-tuning. IET Microw Ant Propag 2015; 957-963. https://doi.org/10.1049/iet-map.2014.0600. open in new tab
  9. Bekasiewicz A, Koziel S. Reliable multistage optimization of antennas for multiple performance figures in highly dimensional parameter spaces. IEEE Ant Wireless Propag Lett 2019; 18:1522-1526. https://doi.org/10.1109/LAWP.2019.2921610. open in new tab
  10. Ustun D, Akdagli A. Design of band-notched UWB antenna using a hybrid optimization based on ABC and DE algorithms. AEU -Int J Electr Comm 2018; 87:10-21. https://doi.org/10.1016/j.aeue.2018.02.001. open in new tab
  11. Torun HM, Swaminathan M. High-dimensional global optimization method for high-frequency electronic design. IEEE Trans Microwave Theory Techn 2019; 67: 2128-2142. https://doi.org/10.1109/TMTT.2019.2915298. open in new tab
  12. Dong J, Li Q, Deng L. Fast multi-objective optimization of multi-parameter antenna structures based on improved MOEA/D with surrogate-assisted model. AEU - Int J Electr Comm 2017; 72:192-199. open in new tab
  13. https://doi.org/10.1016/j.aeue.2016.12.007. open in new tab
  14. Prasad AK, Ahadi M, Roy S. Multidimensional uncertainty quantification of microwave/RF networks using linear regression and optimal design of experiments. IEEE Trans Microwave Theory Techn 2016; 64:2433-2446. open in new tab
  15. https://doi.org/10.1109/TMTT.2016.2584608. open in new tab
  16. Koziel S, Ogurtsov S. Antenna design by simulation-driven optimization. Berlin: Springer; 2014. open in new tab
  17. Aghayari H, Nourinia J, Ghobadi C, Mohammadi B. Realization of dielectric loaded waveguide filter with substrate integrated waveguide technique based on incorporation of two substrates with different relative permittivity, AEU -Int J Electr Comm 2018; 86:17-24. https://doi.org/10.1016/j.aeue.2018.01.008. open in new tab
  18. Feng F, Zhang J, Zhang W, Zhao Z, Jin J, Zhang Q. Coarse-and fine-mesh space mapping for EM optimization incorporating mesh deformation. IEEE Microwave Wireless Comp Lett 2019; 29:510-512. open in new tab
  19. https://doi.org/10.1109/LMWC.2019.2927113. open in new tab
  20. Koziel S, Bekasiewicz A. Pareto-ranking bisection algorithm for expedited multiobjective optimization of antenna structures. IEEE Ant Wireless Propag Lett 2017; 16:1488-1491. https://doi.org/10.1109/LAWP.2016.2646842. open in new tab
  21. Koziel S, Bekasiewicz A. Fast simulation-driven feature-based design optimization of compact dual-band microstrip branch-line coupler. Int J RF and Microwave Comp Aid Eng 2016; 26:13-20. https://doi.org/10.1002/mmce.20923. open in new tab
  22. Jamshidi M, Lalbakhsh A, Mohamadzade B, Siahkamari H, Hadi Mousavi SM. A novel neural-based approach for design of microstrip filters. AEU -Int J Electr Comm 2019; 110:152847. https://doi.org/10.1016/j.aeue.2019.152847. open in new tab
  23. Chen Y, Tian Y, Qiang Z, Xu L. Optimisation of reflection coefficient of microstrip antennas based on KBNN exploiting GPR model. IET Microwaves Ant Propag 2018; 12:602-606. https://doi.org/10.1049/iet-map.2017.0282. open in new tab
  24. Zhang J, Feng F, Na W, Yan S, Zhang Q. Parallel space-mapping based yield- driven EM optimization incorporating trust region algorithm and polynomial chaos expansion. IEEE Access 2019; 7:143673-143683. open in new tab
  25. https://doi.org/10.1109/ACCESS.2019.2944415. open in new tab
  26. Karatzidis DI, Yioultsis TV, Tsiboukis TD. Gradient-based adjoint-variable optimization of broadband microstrip antennas with mixed-order prism macroelements. AEU -Int J Electr Comm 2008; 62:401-412. https://doi.org/10.1016/j.aeue.2007.05.011. open in new tab
  27. Bekasiewicz A, Koziel S. Accelerated geometry optimization of compact impedance matching transformers using decomposition and adjoint sensitivities. Int J Numer Model 2016; 29: 1140-1148. https://doi.org/10.1002/jnm.2173. open in new tab
  28. Pietrenko-Dabrowska A, Koziel S. Numerically efficient algorithm for compact microwave device optimization with flexible sensitivity updating scheme. Int J RF Microw Comput Aided Eng 2019; 29:e21714. https://doi.org/10.1002/mmce.21714. open in new tab
  29. Koziel S, Pietrenko-Dabrowska A. Reduced-cost electromagnetic-driven optimisation of antenna structures by means of trust-region gradient-search with sparse Jacobian updates. IET Microwaves Ant Propag 2019; 13:1646-1652. https://doi.org/10.1049/iet-map.2018.5879. open in new tab
  30. Goudos S. Design of microwave broadband absorbers using a self-adaptive differential evolution algorithm. Int J RF and Microwave Comp Aid Eng 2009; 19:364-372. https://doi.org/10.1002/mmce.20357. open in new tab
  31. Goudos S. Microwave systems and applications. London: IntechOpen; 2017. open in new tab
  32. Mahon SJ, Skellern DJ. Procedure for inverse modelling of GaAs/AlGaAs HEMT structures from DC I/V characteristic curves. Electr Lett 1991; 27:81-82. https://doi.org/10.1049/el:19910052. open in new tab
  33. Swanson DG. Narrow-band microwave filter design. IEEE Microwave Magazine 2007; 8:105-114. https://doi.org/10.1109/MMM.2007.904724. open in new tab
  34. Della Corte FG, Merenda M, Bellizzi GG, Isernia T, Carotenuto R. Temperature effects on the efficiency of dickson charge pumps for radio frequency energy harvesting IEEE Access 2018, 6(8502044):65729-65736. open in new tab
  35. https://doi.org/10.1109/ACCESS.2018.2876920. open in new tab
  36. Koziel S, Bekasiewicz A. Expedited geometry scaling of compact microwave passives by means of inverse surrogate modeling. IEEE Trans Microwave Theory Tech. 2015; 63:4019-4026. https://doi.org/10.1109/TMTT.2015.2490662. open in new tab
  37. Koziel S, Bekasiewicz A. Rapid dimension scaling of dual-band antennas using variable-fidelity EM models and inverse surrogates. J Electromagn Waves App. 2017; 31:297-308. https://doi.org/10.1080/09205071.2016.1276861. open in new tab
  38. Koziel S, Bekasiewicz A. Low-cost and reliable geometry scaling of compact microstrip couplers with respect to operating frequency, power split ratio, and dielectric substrate parameters. IET Microwaves Ant Propag. 2018; 12:1508-1513. https://doi.org/10.1049/iet-map.2017.1166. open in new tab
  39. Simpson TW, Peplinski JD, Koch PN, Allen JK. Metamodels for computer-based engineering design: survey and recommendations. Eng Computers 2001; 17:129- 150. https://doi.org/ 10.1007/PL00007198. open in new tab
  40. Conn AR, Gould NIM, Toint PL. Trust region methods. Philadelphia: Society for Industrial and Applied Mathematics; 2000. open in new tab
Verified by:
Gdańsk University of Technology

seen 114 times

Recommended for you

Response Feature Technology for High-Frequency Electronics. Optimization, Modeling, and Design Automation

2024

Rapid optimization of compact microwave passives using kriging surrogates and iterative correction

2020

Multi-Fidelity Local Surrogate Model for Computationally Efficient Microwave Component Design Optimization

2019

Low-Cost Data-Driven Surrogate Modeling of Antenna Structures by Constrained Sampling

2016
Meta Tags