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A Computer-Aided Tuning Method for Microwave Filters by Combing T-S Fuzzy Neural Networks and Improved Space Mapping

Shengbiao Wu1,2,3, Weihua Cao1,3,*, Can Liu1,3, Min Wu1,3
School of Automation, China University of Geoscience, Wuhan, Hubei, 430074, China.
Nanchang Institute of Science and Technology. Nanchang, Jiangxi, 330100, China.
The Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems , Wuhan, Hubei, 430074, China.
*Corresponding Author: Weihua Cao. Email: .

Computer Modeling in Engineering & Sciences 2018, 116(3), 433-453. https://doi.org/ 10.31614/cmes.2018.03309

Abstract

A computer-aided tuning method that combines T-S fuzzy neural network (T-S FNN) and offers improved space mapping (SM) is presented in this study. This method consists of three main aspects. First, the coupling matrix is effectively extracted under the influence of phase shift and cavity loss after the initial tuning. Second, the surrogate model is realized by using a T-S FNN based on subspace clustering. Third, the mapping relationship between the actual and the surrogate models is established by the improved space mapping algorithm, and the optimal position of the tuning screws are found by updating the input and output parameters of the surrogate model. Finally, the effectiveness of different methods is verified by an experiment with a nine order cross coupled filter. Experimental results show that, compared to a back propagation neural network method based on electromagnetic simulation and an SM method based on a least squares support vector machine, the proposed method has obvious advantages in terms of tuning accuracy and tuning time.

Keywords

Computer-aided tuning, T-S FNN, S-parameters, coupling matrix.

Cite This Article

Wu, S., Cao, W., Liu, C., Wu, M. (2018). A Computer-Aided Tuning Method for Microwave Filters by Combing T-S Fuzzy Neural Networks and Improved Space Mapping. CMES-Computer Modeling in Engineering & Sciences, 116(3), 433–453.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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