Download PDF by Slawomir Koziel, Stanislav Ogurtsov: Antenna Design by Simulation-Driven Optimization

By Slawomir Koziel, Stanislav Ogurtsov

ISBN-10: 3319043668

ISBN-13: 9783319043661

This short reports a couple of concepts exploiting the surrogate-based optimization suggestion and variable-fidelity EM simulations for effective optimization of antenna constructions. The creation of every technique is illustrated with examples of antenna layout. The authors exhibit the ways that practitioners can receive an optimized antenna layout on the computational rate resembling a number of high-fidelity EM simulations of the antenna constitution. there's additionally a dialogue of the choice of antenna version constancy and its impact on functionality of the surrogate-based layout strategy. This quantity is acceptable for electric engineers in academia in addition to undefined, antenna designers and engineers facing computationally-expensive layout difficulties.

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No i=i+1 Yes Final Design Fig. 11) is negligible. Because low-­ fidelity antenna models are normally obtained through coarse-discretization EM simulation, overall costs of multiple evaluations of the low-fidelity model can become a bottleneck of the SBO algorithm. 2) (Koziel and Ogurtsov 2011d). Let us denote the coarse-discretization EM low-fidelity model as Rcd. The design procedure utilizing the RSA coarse model Rc is the following: 1. Take initial design xinit. Find the starting point x(0) for SM algorithm by optimizing the coarse-­ discretization model Rcd.

Coarser models are faster, and it turns into a lower cost per design iteration while using SBO process (cf. 1)). The coarser models, however, are less accurate, which may result in a larger number of iterations necessary to find a satisfactory design. Also, there is an increased risk of failure for the optimization algorithm to find a good design (Koziel and Ogurtsov 2012b; see also Chap. 12 for more extensive discussion of this subject). Finer models, on the other hand, are more expensive but they are more likely to produce a useful design with a smaller number of iteration.

5 mm thick RO4003C material (RO4000 2010). 17 mm. Metallization of the trace and ground is with 50 μm copper. 66 GHz quadcore CPU with 4 GB RAM computer). The low-fidelity model Rc is also evaluated in CST but with coarser discretization (~15,000 mesh cells, evaluation time 24 s using the same computer). 5 shows the responses of the high- and lowfidelity model of the DRA at a certain reference design, the construction of the SPRP surrogate, and the agreement between the SPRP-predicted and the actual high-fidelity model response.

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Antenna Design by Simulation-Driven Optimization by Slawomir Koziel, Stanislav Ogurtsov


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