Design of microwave components is an inherently multiobjective task. Often, the objectives are at least partially conflicting and the designer has to work out a suitable compromise. In practice, generating the best possible trade-off designs requires multiobjective optimization, which is a computationally demanding task. If the structure of interest is evaluated through full-wave electromagnetic (EM) analysis, the employment of widely used population-based metaheuristics algorithms may become prohibitive in computational terms. This is a common situation for miniaturized components, where considerable cross-coupling effects make traditional representations (eg, network equivalents) grossly inaccurate. This article presents a framework for accelerated EM-driven multiobjective design of compact microwave devices. It adopts a recently reported nested kriging methodology to identify the parameter space region containing the Pareto front and to render a fast surrogate, subsequently used to find the first approximation of the Pareto set. The final trade-off designs are produced in a separate, surrogate-assisted refinement process. Our approach is demonstrated using a three-section impedance matching transformer designed for the best matching and the minimum footprint area. The Pareto set is generated at the cost of only a few hundred of high-fidelity EM simulations of the transformer circuit despite a large number of geometry parameters involved.
|Fræðitímarit||International Journal of RF and Microwave Computer-Aided Engineering|
|Útgáfustaða||Útgefið - 2020|
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