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Design of Neural Network Controller Using RTDNN and FLC  

Shin, Wee-Jae (청남대학교 전자공학과)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.13, no.4, 2012 , pp. 233-237 More about this Journal
Abstract
In this paper, We propose a control system which compensate a output of a main Neual Network using a RTDNN(Recurrent Time Delayed Neural Network) with a FLC(Fuzzy Logic Controller)After a learn of main neural network, it can occur a Over shoot or Under shoot from a disturbance or a load variations. In order to adjust above case, we used the fuzzy compensator to get an expected results. And the weight of main neural network can be changed with the result of learning a inverse model neural network of plant, so a expected dynamic characteristics of plant can be got. We can confirm good response characteristics of proposed neural network controller by the results of simulation.
Keywords
neural network controller; tdnn; rtdnn; FLC; scale coefficient;
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Times Cited By KSCI : 1  (Citation Analysis)
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