Robust optimization of microwave structures using cosimulation-based surrogate models

A robust and computationally efficient technique for design optimization of microwave structures is proposed.We exploit cosimulation-based surrogate models with the essential couplings evaluated using electromagnetic (EM) solver and most of the designable parameters modeled by distributed circuit elements with physical dimensions corresponding to those of the structure being optimized. Good prediction capability of the surrogate model is ensured by the space mapping-based alignment process. It is demonstrated that the proposed methodology is able to yield a satisfactory design at the computational cost corresponding to two or three EM simulations of the optimized structure. The design of two microstrip filters is presented for the sake of illustration. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 53:130–135, 2011; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.25637

[1]  Jen-Tsai Kuo,et al.  Parallel-coupled microstrip filters with over-coupled end stages for suppression of spurious responses , 2003 .

[2]  Richard V. Snyder Practical aspects of microwave filter development , 2007 .

[3]  J.C. Rautio EM-Component-Based Design of Planar Circuits , 2007, IEEE Microwave Magazine.

[4]  Sridhar Kanamaluru,et al.  Diplexer design using EM and circuit simulation techniques , 2007, IEEE Microwave Magazine.

[5]  G. Macchiarella,et al.  Microwave filter design by synthesis and optimization , 2007, IEEE Microwave Magazine.

[6]  J.W. Bandler,et al.  Space mapping: the state of the art , 2004, IEEE Transactions on Microwave Theory and Techniques.

[7]  S. Koziel,et al.  Accelerated Microwave Design Optimization With Tuning Space Mapping , 2009, IEEE Transactions on Microwave Theory and Techniques.

[8]  M. K. Mohd Salleh,et al.  Quarter-Wavelength Side-Coupled Ring Resonator for Bandpass Filters , 2008, IEEE Transactions on Microwave Theory and Techniques.

[9]  S. Koziel,et al.  A Space-Mapping Framework for Engineering Optimization—Theory and Implementation , 2006, IEEE Transactions on Microwave Theory and Techniques.