TY - GEN
T1 - Low-Cost Feature-Based Tolerance Optimization of Multi-Band Antennas
AU - Pietrenko-Dabrowska, Anna
AU - Koziel, Slawomir
N1 - Funding Information: The authors thank Dassault Systemes, France, for making CST Microwave Studio available. This work is partially supported by the Icelandic Centre for Research (RANNIS) Grant 217771, by National Science Centre in Poland 2018/31/B/ST7/02369, and by Gdańsk University of Technology Grant DEC-41/2020/IDUB/I.3.3 under the Argentum Triggering Research Grants program. Publisher Copyright: © 2022 European Association for Antennas and Propagation.
PY - 2022
Y1 - 2022
N2 - Manufacturing inaccuracies are detrimental to performance of engineering designs. Antenna structures are no exception here. The effects of parameter deviations are particularly noticeable for narrow-and multi-band antennas and manifest themselves through relocations of the operating frequencies or bandwidth degradation. The ability to reduce the system sensitivity to tolerances is therefore an important design consideration. Unfortunately, robust design is a challenging task, primarily because it has to be carried out at the level of full-wave electromagnetic (EM) simulation models, which generates considerable computational expenses. In this paper, we propose a novel approach to tolerance optimization of multi-band antennas. The objective is to enlarge the maximum levels of geometry parameter deviations that still ensure perfect (100-percent) fabrication yield. The presented approach involves feature-based regression surrogates as well as the trust-region framework to ensure low cost and convergence of the optimization process. Numerical validation of the method, conducted for a dual-and a triple-band microstrip antenna, corroborates its efficacy with the average robust design cost of only a few dozens of EM analyses of the respective structure.
AB - Manufacturing inaccuracies are detrimental to performance of engineering designs. Antenna structures are no exception here. The effects of parameter deviations are particularly noticeable for narrow-and multi-band antennas and manifest themselves through relocations of the operating frequencies or bandwidth degradation. The ability to reduce the system sensitivity to tolerances is therefore an important design consideration. Unfortunately, robust design is a challenging task, primarily because it has to be carried out at the level of full-wave electromagnetic (EM) simulation models, which generates considerable computational expenses. In this paper, we propose a novel approach to tolerance optimization of multi-band antennas. The objective is to enlarge the maximum levels of geometry parameter deviations that still ensure perfect (100-percent) fabrication yield. The presented approach involves feature-based regression surrogates as well as the trust-region framework to ensure low cost and convergence of the optimization process. Numerical validation of the method, conducted for a dual-and a triple-band microstrip antenna, corroborates its efficacy with the average robust design cost of only a few dozens of EM analyses of the respective structure.
KW - EM-based design
KW - Uncertainty quantification
KW - multi-band antennas
KW - response features
KW - robust design
UR - https://www.scopus.com/pages/publications/85130624663
M3 - Conference contribution
T3 - 2022 16th European Conference on Antennas and Propagation, EuCAP 2022
BT - 2022 16th European Conference on Antennas and Propagation, EuCAP 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th European Conference on Antennas and Propagation, EuCAP 2022
Y2 - 27 March 2022 through 1 April 2022
ER -