Efficient optimization of microwave circuits using shape-preserving response prediction

The paper presents shape-preserving response prediction, a new technique for efficient design optimization of microwave circuits. It allows us to estimate the response of the microwave structure being optimized (fine model) using a computationally cheap representation of the structure (coarse model). The method has excellent generalization capabilities and does not require any extractable parameters. Here, the technique is developed in its simplest form that can be applied in case of certain class of microwave structures, particularly bandstop filters. The robustness of the proposed approach is demonstrated using two microwave design optimization problems.

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

[2]  John W. Bandler,et al.  Quality assessment of coarse models and surrogates for space mapping optimization , 2008 .

[3]  S. Koziel,et al.  Space-Mapping Optimization With Adaptive Surrogate Model , 2007, IEEE Transactions on Microwave Theory and Techniques.

[4]  Shih-Ming Wang,et al.  Compact and wideband microstrip bandstop filter , 2005 .

[5]  S. Amari,et al.  Space-mapping optimization of planar coupled-resonator microwave filters , 2006, IEEE Transactions on Microwave Theory and Techniques.

[6]  John W. Bandler,et al.  Space mapping technique for electromagnetic optimization , 1994 .

[7]  Raphael T. Haftka,et al.  Surrogate-based Analysis and Optimization , 2005 .

[8]  J.W. Bandler,et al.  Space Mapping With Adaptive Response Correction for Microwave Design Optimization , 2009, 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.