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Topology optimization of metallic antennas
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.ORCID-id: 0000-0002-1318-7519
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.ORCID-id: 0000-0003-0473-3263
2014 (engelsk)Inngår i: IEEE Transactions on Antennas and Propagation, ISSN 0018-926X, E-ISSN 1558-2221, Vol. 62, nr 5, s. 2488-2500Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

We introduce an approach to carry out layout optimization of metallic antenna parts. An optimization technique first developed for the optimization of load-bearing elastic structures is adapted for the purpose of metallic antenna design. The local conductivity values in a given region are used as design variables and are iteratively updated by a gradient-based optimization algorithm. Given a set of time-domain signals from exterior sources, the design objective is here to maximize the energy received by the antenna and transmitted to a coaxial cable. The optimization proceeds through a sequence of coarsely-defined lossy designs with successively increasing details and less losses as the iterations proceed. The objective function gradient is derived based on the FDTD discretization of Maxwell's equations and is expressed in terms of field solutions of the original antenna problem and an adjoint field problem. The same FDTD code, but with different wave sources, is used for both the original antenna problem and the adjoint problem. For any number of design variables, the gradient is evaluated on the basis of only two FDTD simulations, one for the original antenna problem and another for the adjoint field problem. We demonstrate the capability of the method by optimizing the radiating patch of both UWB monopole and microstrip antennas. The UWB monopole is designed to radiate over a wide frequency band 1-10 GHz, while the microstrip patch is designed for single and dual frequency band operation. In these examples, there are more than 20,000 design variables, and the algorithm typically converges in less than 150 iterations. The optimization results show a promising use of the proposed approach as a general method for conceptual design of near-resonance metallic antennas.

sted, utgiver, år, opplag, sider
IEEE Press, 2014. Vol. 62, nr 5, s. 2488-2500
Emneord [en]
Adjoint field problem, coaxial feed model, finite-difference time-domain (FDTD), microstrip antennas, topology optimization, ultrawideband antennas (UWB)
HSV kategori
Identifikatorer
URN: urn:nbn:se:umu:diva-79481DOI: 10.1109/TAP.2014.2309112ISI: 000336667900018OAI: oai:DiVA.org:umu-79481DiVA, id: diva2:642027
Tilgjengelig fra: 2013-08-20 Laget: 2013-08-20 Sist oppdatert: 2018-06-08bibliografisk kontrollert
Inngår i avhandling
1. Metallic antenna design based on topology optimization techniques
Åpne denne publikasjonen i ny fane eller vindu >>Metallic antenna design based on topology optimization techniques
2013 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
Umeå: Department of Computing Science, Umeå University, 2013. s. 15
Serie
UMINF, ISSN 0348-0542 ; 13.08
HSV kategori
Identifikatorer
urn:nbn:se:umu:diva-76691 (URN)978-91-7459-649-6 (ISBN)
Presentation
2013-05-03, Mit-huset, MC313, Umeå universitet, Umeå, 10:15
Tilgjengelig fra: 2013-07-10 Laget: 2013-07-10 Sist oppdatert: 2018-06-08bibliografisk kontrollert
2. Topology optimization of antennas and waveguide transitions
Åpne denne publikasjonen i ny fane eller vindu >>Topology optimization of antennas and waveguide transitions
2015 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

This thesis introduces a topology optimization approach to design, from scratch, efficient microwave devices, such as antennas and waveguide transitions. The design of these devices is formulated as a general optimization problem that aims to build the whole layout of the device in order to extremize a chosen objective function. The objective function quantifies some required performance and is evaluated using numerical solutions to the 3D~Maxwell's equations by the finite-difference time-domain (FDTD) method. The design variables are the local conductivity at each Yee~edge in a given design domain, and a gradient-based optimization method is used to solve the optimization problem. In all design problems, objective function gradients are computed based on solutions to adjoint-field problems, which are also FDTD discretization of Maxwell's equations but solved with different source excitations. For any number of design variables, the computation of the objective function gradient requires one solution to the original field problem and one solution to the associated adjoint-field problem. The optimization problem is solved iteratively using the globally convergent Method of Moving Asymptotes (GCMMA).

By the proposed approach, various design problems, including tens of thousands of design variables, are formulated and solved in a few hundred iterations. Examples of solved design problems are the design of wideband antennas, dual-band microstrip antennas, wideband directive antennas, and wideband coaxial-to-waveguide transitions. The fact that the proposed approach allows a fine-grained control over the whole layout of such devices results in novel devices with favourable performance. The optimization results are successfully verified with a commercial software package. Moreover, some devices are fabricated and their performance is successfully validated by experiments.

sted, utgiver, år, opplag, sider
Umeå: Umeå University, 2015. s. 29
Serie
UMINF, ISSN 0348-0542 ; 15:07
Emneord
Maxwell's equations, topology optimization, antennas, waveguide transition, finite-difference time-domain, gradient-based optimization, adjoint-field problem, microwave devices.
HSV kategori
Forskningsprogram
administrativ databehandling
Identifikatorer
urn:nbn:se:umu:diva-102505 (URN)978-91-7601-255-0 (ISBN)
Disputas
2015-05-26, Naturvetarhuset, N450, Umeå universitet, Umeå, 10:15 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2015-05-05 Laget: 2015-04-27 Sist oppdatert: 2018-06-07bibliografisk kontrollert

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