Antenna Design by Simulation-Driven Optimization by Slawomir Koziel

By Slawomir Koziel

This short experiences a couple of innovations exploiting the surrogate-based optimization proposal and variable-fidelity EM simulations for effective optimization of antenna buildings. The advent of every technique is illustrated with examples of antenna layout. The authors display the ways that practitioners can receive an optimized antenna layout on the computational fee akin to 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 impression on functionality of the surrogate-based layout strategy. This quantity is appropriate for electric engineers in academia in addition to undefined, antenna designers and engineers facing computationally-expensive layout problems.

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2004a, b). 1) can be replaced by finding xf# = P−1(xc*). Here, xc* is the optimal design of Rc defined as xc* = argmin{xc: U(Rc(xc))}, whereas xf# can be considered as a reasonable estimate of xf*. 2 Space Mapping 27 where Rc(P(xf)) is an enhanced low-fidelity model (or, the surrogate). 3) (Bandler et al. 1995) and possible misalignment of high- and low-fidelity model ranges (Alexandrov and Lewis 2001), led to numerous improvements, including parametric SM (cf. 3). 2 Aggressive Space Mapping A popular version of SM based on the original concept is aggressive SM (ASM) (Bandler et al.

The design x(j) is obtained as the optimal solution of the model Rc·j, j = 1, 2, 3. 26) The design optimization procedure can be summarized as follows (input arguments are initial design x(0) and the number of coarse-discretization models K): 1. Set j = 1. 2. Optimize coarse-discretization model Rc·j to obtain a new design x(j) using x(j−1) as a starting point. 3. Set j = j + 1; if j < K, go to 2. 4. 26). 5. End. Note that the original model Rf is only evaluated at the final stage (step 4) of the optimization process.

HFSS 2010, CST Microwave Studio 2013, and FEKO 2011). Examples of antenna structures for which full-wave discrete simulation is the only modeling possibility include but are not limited to ultra-wideband (UWB) antennas (Schantz 2005), dielectric resonator antennas (DRAs) (Petosa 2007), and antenna arrays with strong element coupling (Balanis 2005). In the design optimization process, the low-fidelity model is to be simulated multiple times, either at a separate stage to create an auxiliary response surface surrogate (Koziel and Ogurtsov 2011a) or as a part of the SBO algorithm run to yield a prediction of the high-fidelity model optimum (Bandler et al.

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Antenna Design by Simulation-Driven Optimization by Slawomir Koziel
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