Robust microwave design optimization using manifold mapping with adjoint sensitivity (original) (raw)

2012 7th European Microwave Integrated Circuit Conference, 2012

Abstract

ABSTRACT We introduce a robust and reliable algorithm for computationally efficient design optimization of microwave structures evaluated with electromagnetic (EM) simulations. Our approach utilizes low-fidelity model constructed from coarse-discretization EM simulation of the structure of interest as well as cheap derivative information obtained through adjoint sensitivity. Adjoint sensitivity which is exploited threefold: (i) to reduce the misalignment between the low- and high-fidelity models through input space mapping, (ii) to construct a first-order consistent surrogate model through manifold mapping, (iii) to optimize the surrogate through trust-region based algorithm. The comprehensive use of adjoint sensitivity results in a very low design cost and excellent convergence capability of the proposed algorithm. Efficiency of our approach is demonstrated through the design of an ultra-wideband antenna and a microstrip bandpass filter.

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