A Novel Trust-Region-Based Algorithm with Flexible Jacobian Updates for Expedited Optimization of High-Frequency Structures - Publication - Bridge of Knowledge

Search

A Novel Trust-Region-Based Algorithm with Flexible Jacobian Updates for Expedited Optimization of High-Frequency Structures

Abstract

Simulation-driven design closure is mandatory in the design of contemporary high-frequency components. It aims at improving the selected performance figures through adjustment of the structure’s geometry (and/or material) parameters. The computational cost of this process when employing numerical optimization is often prohibitively high, which is a strong motivation for the development of more efficient methods. This is especially important in the case of complex and multi-parameter structures. In the paper, an expedited trust-region-based algorithm for electromagnetic (EM)-driven design optimization of high-frequency structures is proposed. The presented technique involves a flexible sensitivity update scheme depending on the relative design changes with respect to the trust region size, as well as a direction of the design relocation and its alignment with the coordinate system axes. This allows for performing finite-differentiation-based sensitivity updates less frequently and, consequently, brings considerable computational savings. Numerical results obtained for an ultra-wideband antenna and a microwave coupler demonstrate that the proposed algorithm outperforms the reference procedure in terms of the number of EM simulations necessary to arrive at the optimized solution (around 50 percent). At the same time, the design quality loss is minor.

Citations

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Cite as

Full text

download paper
downloaded 35 times
Publication version
Accepted or Published Version
License
Copyright (2019 John Wiley & Sons, Ltd)

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS no. 32, pages 1 - 10,
ISSN: 0894-3370
Language:
English
Publication year:
2019
Bibliographic description:
Pietrenko-Dąbrowska A.: A Novel Trust-Region-Based Algorithm with Flexible Jacobian Updates for Expedited Optimization of High-Frequency Structures// INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS -Vol. 32,iss. 5 (2019), s.1-10
DOI:
Digital Object Identifier (open in new tab) 10.1002/jnm.2613
Bibliography: test
  1. Koziel S, Ogurtsov S. Antenna design by simulation-driven optimization. Surrogate- based approach. New York: Springer; 2014. open in new tab
  2. Zhang J, Zhang C, Feng F, Zhang W, Ma J, Zhang QJ. Polynomial chaos-based approach to yield-driven EM optimization. IEEE Trans Microwave Theory Tech. 2018; 66(7): 3186-3199. open in new tab
  3. Sevgi L. Electromagnetic modeling and simulation. IEEE Press Series on Electromagnetic Wave Theory; 2014. open in new tab
  4. Koziel S, Bekasiewicz A. Multi-objective design of antennas using surrogate models. Singapur: World Scientific; 2016. open in new tab
  5. Koziel S, Kurgan P. Compact cell topology selection for size-reduction-oriented design of microstrip rat-race couplers. Int J RF Microwave Comput Aided Eng. 2018; 28(5). open in new tab
  6. Nocedal J, Wright SJ. Numerical Optimization. 2nd ed. New York: Springer; 2006. open in new tab
  7. Lalbakhsh A, Afzal MU, Esselle KP. Multiobjective particle swarm optimization to design a time-delay equalizer metasurface for an electromagnetic band-gap resonator antenna. IEEE Antennas Wirel Propag Lett. 2017; 16: 915-915. open in new tab
  8. Darvish A, Ebrahimzadeh A. Improved fruit-fly optimization algorithm and its applications in antenna array synthesis. IEEE Trans Antennas Propag. 2018; open in new tab
  9. Joshi D, Dash S, Jatana HS, Bhattacharjee R, Trivedi G. Analog circuit optimization using adjoint network based sensitivity analysis. AEU -Int J Electr Comm. 2017, 82:221-225. open in new tab
  10. Koziel S, Bekasiewicz A. Rapid design optimization of antennas using variable- fidelity EM models and adjoint sensitivities. Eng Comput, 2016;33(7):2007-2018. open in new tab
  11. Xiao LY, Shao W, Ding X, Wang BZ. Dynamic adjustment kernel extreme learning machine for microwave component design. IEEE Trans Microwave Theory Tech. 2018;66(10):4452-4461. open in new tab
  12. Fu H, Vong C-M, Wong P-K, Yang Z. Fast detection of impact location using kernel extreme learning machine. Neural Comput Applicat. 2016; 27(1):121-130. open in new tab
  13. Koziel S. Fast simulation-driven antenna design using response-feature surrogates. Int J RF Microwave Comput Aided Eng. 2015;25(5):394-402. open in new tab
  14. Baratta IA, de Andrade CB, de Assis RR, Silva EJ. Infinitesimal dipole model using space mapping optimization for antenna placement. IEEE Antennas Wirel Propag Lett. 2018;17(1):17-20. open in new tab
  15. Xu J, Li M, Chen R. Space mapping optimisation of 2D array elements arrangement to reduce the radar cross-scattering. IET Microw Antennas Propag. 2017; open in new tab
  16. Xu J, Li M, Chen R. Lump-loaded antenna optimization by manifold mapping algorithm with method of moments. Eng Analysis Boundary Elem. 2018; 89:45-49. open in new tab
  17. de Villiers DIL, Couckuyt I, Dhaene T. Multi-objective optimization of reflector antennas using kriging and probability of improvement. IEEE Int Symp Ant Prop. 2017:985-986. open in new tab
  18. Chávez-Hurtado JL, Rayas-Sánchez JE. Polynomial-based surrogate modeling of RF and microwave circuits in frequency domain exploiting the multinomial theorem. IEEE Trans Microwave Theory Tech. 2016; 64(12):4371-4381. open in new tab
  19. Hassan SO, Etman AS, Soliman EA. Optimization of a novel nano antenna with two radiation modes using kriging surrogate models. IEEE Photonics Journal. 2018;10(4):1-17. open in new tab
  20. Jacobs JP. Characterization by Gaussian processes of finite substrate size effects on gain patterns of microstrip antennas. IET Microw Antennas Propag. 2016;10(11): 1189-1195. open in new tab
  21. Jacobs JP, Koziel S. Two-stage framework for efficient Gaussian process modeling of antenna input characteristics. IEEE Trans Antennas Propag. 2014; 62(2):706-713. open in new tab
  22. Barmuta P, Ferranti F, Gibiino GP, Lewandowski A, Schreurs DMM. Compact behavioral models of nonlinear active devices using response surface methodology. IEEE Trans Microwave Theory Tech. 2015; 63(1):56-64. open in new tab
  23. Bandler JW, Cheng QS, Dakroury SA, Mohamed AS, Bakr MH, Madsen K, Sondergaard J. Space mapping: the state of the art. IEEE Trans Microwave Theory Tech. 2004; 52(1):337-361. open in new tab
  24. Simsek M. Aoad A. Multiple operating frequency selections for reconfigurable antenna design by SM based optimization IET Microw Antennas Propag. 2017; open in new tab
  25. Koziel S, Leifsson L. Simulation-driven design by knowledge-based response correction techniques. New York: Springer; 2016. open in new tab
  26. Su Y, Lin J, Fan Z, Chen R. Shaping optimization of double reflector antenna based on manifold mapping. Int Applied Comput Electromagn Society Symp (ACES). 2017.
  27. Koziel S, Kurgan P. Compact cell topology selection for size-reduction-oriented design of microstrip rat-race couplers. Int J RF Microwave Comput Aided Eng. 2018;28(5). open in new tab
  28. Koziel S, Kurgan P. Inverse modeling for fast design optimization of small-size rat- race couplers incorporating compact cells. Int J RF Microwave Comput Aided Eng. 2018;28(5). open in new tab
  29. Conn AR, Gould NIM, Toint PL. Trust Region Methods. MPS-SIAM Series on Optimization; 2000. open in new tab
  30. Alsath MGN, Kanagasabai M. Compact UWB monopole antenna for automotive communications. IEEE Trans Antennas Propag. 2015;63(9):4204-4208. open in new tab
  31. Koziel S, Bekasiewicz A, Kurgan P. Rapid design and size reduction of microwave couplers using variable-fidelity EM-driven optimization. Int J RF Microwave Comput Aided Eng. 2016;26(1):27-35. open in new tab
  32. Koziel S, Pietrenko-Dabrowska A. An efficient trust-region algorithm for wideband antenna optimization, European Antennas and Propagation Conference, Krakow, Poland, 2019. open in new tab
Sources of funding:
  • Narodowe Centrum Nauki 2015/17/B/ST6/01857
Verified by:
Gdańsk University of Technology

seen 81 times

Recommended for you

Meta Tags