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

作　　者：Shengbiao Wu Weihua Cao Can Liu Min Wu 

机构地区：[1]School of Automation,China University of Geoscience,Wuhan,Hubei,430074,China [2]Nanchang Institute of Science and Technology.Nanchang,Jiangxi,330100,China [3]The Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems,Wuhan,Hubei,430074,China

出　　处：《Computer Modeling in Engineering & Sciences》2018年第9期433-453,共21页工程与科学中的计算机建模（英文）

基　　金：supported by the Hubei Provincial Natural Science Foundation of China under Grant 2015CFA010 and the 111 project under Grant B17040.

摘　　要：A computer-aided tuning method that combines T-S fuzzy neural network(TS 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.

关 键 词：COMPUTER-AIDED tuning T-S FNN S-PARAMETERS COUPLING MATRIX 

分 类 号：TP1[自动化与计算机技术—控制理论与控制工程]