Computationally-efficient design optimisation of antennas by accelerated gradient search with sensitivity and design change monitoring
Abstrakt
Electromagnetic (EM) simulation tools are of primary importance in the design of contemporary antennas. The necessity of accurate performance evaluation of complex structures is a reason why the final tuning of antenna dimensions, aimed at improvement of electrical and field characteristics, needs to be based on EM analysis. Design automation is highly desirable and can be achieved by coupling EM solvers with numerical optimisation routines. Unfortunately, its computational overhead may be impractically high for conventional algorithms. This study proposes an efficient gradient search algorithm with numerical derivatives. The acceleration of the optimisation process is obtained by means of the two mechanisms developed to suppress some of finite-differentiation-based updates of the antenna response sensitivities that involve monitoring and quantifying the gradient changes as well as design relocation between the consecutive algorithm iterations. Both methods considerably reduce the need for finite differentiation, leading to significant computational savings. At the same time, excellent reliability and repeatability is maintained, which is demonstrated through statistics over multiple algorithm runs with random initial designs. The proposed approach is validated using a benchmark set of wideband antennas. The proposed algorithm is competitive to both the reference trust-region algorithm as well as its recently reported accelerated versions.
Cytowania
-
4 4
CrossRef
-
0
Web of Science
-
4 6
Scopus
Autorzy (2)
Cytuj jako
Pełna treść
- Wersja publikacji
- Accepted albo Published Version
- Licencja
- Copyright (2020 The Institution of Engineering and Technology)
Słowa kluczowe
Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuły w czasopismach
- Opublikowano w:
-
IET Microwaves Antennas & Propagation
nr 14,
strony 165 - 170,
ISSN: 1751-8725 - Język:
- angielski
- Rok wydania:
- 2020
- Opis bibliograficzny:
- Pietrenko-Dąbrowska A., Kozieł S.: Computationally-efficient design optimisation of antennas by accelerated gradient search with sensitivity and design change monitoring// IET Microwaves Antennas & Propagation -Vol. 14,iss. 2 (2020), s.165-170
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1049/iet-map.2019.0358
- Bibliografia: test
-
- Koziel, S., Ogurtsov, S.: 'Antenna design by simulation-driven optimization. Surrogate-based approach' (Springer, New York, 2014) otwiera się w nowej karcie
- Nocedal, J., Wright, S.J.: 'Numerical Optimization' (Springer, New York, 2nd edn. 2006) otwiera się w nowej karcie
- Rios, L.M., Sahinidis, N.V.: 'Derivative-free optimization: a review of algorithms and comparison of software implementations', J. Glob. Optim., 2013, 56, (3), pp. 1247- 1293 otwiera się w nowej karcie
- Binelo, M.O., de Almeida, A.L.F., Cavalcanti, F.R.P.: 'A genetic algorithm for the optimization of MIMO antenna arrays' in Cavalcanti, F. (Ed.) 'Resource Allocation and MIMO for 4G and Beyond' (Springer, New York, 2014) otwiera się w nowej karcie
- Bayraktar, Z., Komurcu, M., Bossard, J.A., Werner, D.H.: 'The wind driven optimization technique and its application in electromagnetics', IEEE Trans. Antennas Propag., 2013, 61, (5), pp. 2745-2757 otwiera się w nowej karcie
- Vaz, A.I.F., Vicente, L.N.: 'A particle swarm pattern search method for bound constrained global optimization', J. Glob. Optim., 2007, 39, (2), pp. 197-219 otwiera się w nowej karcie
- Khalatpour, A., Amineh, R.K., Cheng, Q.S., Bakr, M.H., Nikolova, N.K., Bandler, J.W.: 'Accelerating space mapping optimization with adjoint sensitivities', IEEE Microw. Wireless Comp. Lett., 2011, 21, (6), pp. 280-282 otwiera się w nowej karcie
- Papadimitriou, D.I., Giannakoglou, K.C.: 'Aerodynamic shape optimization using first and second order adjoint and direct approaches', Arch. Comput. Methods Eng., 2008, 15, pp. 447- 488 otwiera się w nowej karcie
- Zhang, Y., Negm, M.H., Bakr, M.H.: 'An adjoint variable method for wideband second-order sensitivity analysis through FDTD', IEEE Trans. Antennas Propag., 2016, 64, (2), pp. 675-686, 2016 otwiera się w nowej karcie
- Forrester, A.I.J., Keane, A.J.: 'Recent advances in surrogate- based optimization', Prog. in Aerospace Sciences, 2009, 45, pp. 50−79 otwiera się w nowej karcie
- Bandler, J.W., Koziel, S., Madsen, K.: 'Editorial-surrogate modeling and space mapping for engineering optimization', Optim. Eng., 2008, 9, (4), pp. 307-310 otwiera się w nowej karcie
- Koziel, S., Leifsson, L.: 'Simulation-driven design by knowledge-based response correction techniques' (Springer, New York, 2016) otwiera się w nowej karcie
- Koziel, S., Bandler, J.W., Madsen, K.: 'Space mapping with adaptive response correction for microwave design optimization', IEEE Trans. Microwave Theory Tech., 2009, 57, (2), pp. 478-486 otwiera się w nowej karcie
- Koziel, S., Bandler, J.W.: 'Rapid yield estimation and optimization of microwave structures exploiting feature-based statistical analysis', IEEE Trans. Microwave Theory Tech., 2015, 63, (1), pp. 107-114 otwiera się w nowej karcie
- Koziel, S., Unnsteinsson, S.D.: 'Expedited design closure of antennas by means of trust-region-based adaptive response scaling', IEEE Ant. Wireless Propag. Lett., 2018, 17, (6), pp. 1099-1103. otwiera się w nowej karcie
- Kleijnen, J.P.C.: 'Kriging metamodeling in simulation: A review', European J. Operat. Research, 2009, 192, (3), pp. 707-716 otwiera się w nowej karcie
- Jacobs, J.P.: 'Characterization by Gaussian processes of finite substrate size effects on gain patterns of microstrip antennas', IET Microwaves Ant. Prop., 2016, 10, (11), pp. 1189-1195 otwiera się w nowej karcie
- Bishop, C.: 'Pattern recognition and machine learning' (Springer, New York, 2006)
- Rayas-Sanchez, J.E., Gutierrez-Ayala, V.: 'EM-based Monte Carlo analysis and yield prediction of microwave circuits using linear-input neural-output space mapping', IEEE Trans. Microw. Theory Techn., 2006, 54, (12), pp. 4528-4537 otwiera się w nowej karcie
- Wu, X., Peng, X., Chen, W., Zhang W.: 'A developed surrogate-based optimization framework combining HDMR- based modeling technique and TLBO algorithm for high- dimensional engineering problems', Struct. Multidisc. Optim., 2019, 60, (2), pp. 663-680 otwiera się w nowej karcie
- Koziel, S., Pietrenko-Dabrowska, A.: 'Reduced-cost EM- driven optimization of antenna structures by means of trust- region gradient-search with sparse Jacobian updates', IET Microwaves Ant. Prop., 2019, 13, (10), pp. 1646-1652 otwiera się w nowej karcie
- Koziel, S., Pietrenko-Dabrowska, A.: 'Accelerated antenna optimization using gradient search with selective Broyden updates', IEEE Ant. Prop. Symp., Atlanta, USA, July 2019 otwiera się w nowej karcie
- Koziel, S., Bekasiewicz, A.: 'Multi-objective design of antennas using surrogate models' (World Scientific, Singapore, 2016) otwiera się w nowej karcie
- Conn, A.R., Gould, N.I.M., Toint, P.L.: 'Trust region methods' (MPS-SIAM Series on Optimization, 2000) otwiera się w nowej karcie
- Alsath M.G.N., Kanagasabai, M.: 'Compact UWB monopole antenna for automotive communications', IEEE Trans. Ant. Prop., 2015, 63, (9), pp. 4204-4208. otwiera się w nowej karcie
- Haq, M.A., Koziel, S., Cheng, Q.S.: 'EM-driven size reduction of UWB antennas with ground plane modifications', Int. Applied Comp. Electromagnetics Society (ACES China) Symp., Suzhou, China, August 2017, pp. 1-2
- Koziel, S., Bekasiewicz, A.: 'Low-cost multi-objective optimization of antennas using Pareto front exploration and response features', IEEE Int. Symp. Ant. Prop., Fajardo, Puerto-Rico, July 2016 otwiera się w nowej karcie
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 138 razy