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