Algorithms of constructing a neural network model for a dynamic object of control and adjustment of PID controller parameters

被引:0
|
作者
Emaletdinova Y.L. [1 ]
Tsaregorodtseva E.D. [1 ]
机构
[1] Tupolev Kazan National Research Technical University, Kazan
关键词
dynamic object of control; genetic algorithm; neural network emulator; PID controller;
D O I
10.3103/S1068799813030069
中图分类号
学科分类号
摘要
The paper presents an algorithm for constructing a neural network model for a dynamic object of control based on the data sample obtained as a result of the object operation. The algorithm being considered applies a neural network approach and a genetic algorithm. An algorithm is presented for determining a domain of possible values for a proportional-integral-derivative controller (PID controller) based on application created neural network model of the controlled object. © 2013 Allerton Press, Inc.
引用
收藏
页码:247 / 256
页数:9
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