Original scientific paper

https://doi.org/10.17559/TV-20170414102806

A Novel Combined Modelling and Optimization Technique for Microwave Components

Yanghua Gao ; Information Center of China Tobacco Zhejiang Industrial Co. Ltd., No. 77, Zhongshan South Road, Hangzhou 310008, China
Zhihua Zhang ; Information Center of China Tobacco Zhejiang Industrial Co. Ltd., No. 77, Zhongshan South Road, Hangzhou 310008, China
Hailiang Lu ; Information Center of China Tobacco Zhejiang Industrial Co. Ltd., No. 77, Zhongshan South Road, Hangzhou 310008, China

Abstract

This paper presents a novel combined parametric modelling and design optimization technique for microwave components utilizing the neural networks. The proposed technique provides an iterative mechanism between ANN model training and design optimization update. This iterative mechanism is fully automated and requires no manual intervention. Furthermore, the proposed technique overcomes the limitations of the common ANN optimization strategy where the fixed training region of the ANN model limits the freedom of design optimization. The proposed technique automatically enlarges the ANN training region until an optimization solution satisfying the user’s design specification is met. Once the whole iterative process is finished, an accurate parametric model and an optimal solution satisfying the design specification are simultaneously generated. A parametric modelling and design optimization example of a wideband QuasiElliptic filter design is presented to demonstrate the validity of this technique.

Keywords

Automatic Neural Networks; design optimization; microwave components; parametric modelling

Hrčak ID:

193602

URI

https://hrcak.srce.hr/193602

Publication date:

10.2.2018.

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