Antenna Design by Simulation-Driven Optimization by Slawomir Koziel

By Slawomir Koziel

This short studies a few thoughts exploiting the surrogate-based optimization notion and variable-fidelity EM simulations for effective optimization of antenna buildings. The advent of every strategy is illustrated with examples of antenna layout. The authors reveal the ways that practitioners can receive an optimized antenna layout on the computational expense such as 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 procedure. 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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7). 2 Space Mapping Space mapping (SM) (Bandler et al. 1994, 2004a, b; Bakr et al. 1999; Koziel, et al. 2008b) is one of the earliest and most popular surrogate-based optimization techniques in microwave engineering. Here, we discuss the original SM concept, aggressive SM, parametric SM, as well as SM with auxiliary response surface approximation model, which is suitable for antenna design. 1 Space Mapping Concept The original SM idea was based on a concept of mapping P relating the high- and low-fidelity model parameters (Bandler et al.

In most cases, particularly for broadband and ultra-­wideband antennas, dielectric resonator antennas, and substrate-integrated waveguide/cavity antennas (Balanis 2005; Petosa 2007; Volakis 2007), reliable circuit equivalents or analytical models are not available. Therefore, the only way of obtaining usable low-fidelity models for most antenna structures is through S. Koziel and S. 1007/978-3-319-04367-8_4, © Slawomir Koziel and Stanislav Ogurtsov 2014 25 26 4 Methodologies for Variable-Fidelity Optimization of Antenna Structures coarse-­discretization EM simulations.

5. 1, by outlining challenges of surrogate-based antenna design. 7 contain formulation of specific methodologies. Applications for the design optimization of various antenna structures are covered in Chaps. 6–11. 1 A  ntenna-Specific Challenges of Surrogate-Based Optimization A discussion of surrogate-based optimization paradigm presented in Chap. 3 indicated that the major advantage of SBO methods is in possible reduction of the computational cost of the design process they offer. One of the most important prerequisites is that the surrogate, and, consequently (as we are focused on physics-­ based surrogates), the underlying low-fidelity model, is substantially faster than the high-fidelity model to be optimized.

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