Title: A New Fuzzy Neural Network Controller Based on Compromise characteristics
Abstract: For general fuzzy control, it takes time and effort to adjust the controller after determining the fuzzy rules; When the fuzzy controller with correction coefficient changes, the whole rule table will be affected, which can only make some characteristics meet the control requirements of the system. In order to solve these problems, a new type of fuzzy control strategy is designed in this paper. This method can effectively overcome their shortcomings on the basis of retaining the advantages of the above-mentioned fuzzy control, and uses neural network technology to improve the control accuracy and robustness of the new type of fuzzy controller. Through the simulation research of the first-order inertial system with pure delay, the characteristics of the proposed algorithm such as high control accuracy and small jump are verified.
Publication Year: 2019
Publication Date: 2019-12-01
Language: en
Type: article
Indexed In: ['crossref']
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