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
来源：
Russian Aeronautics (Iz VUZ) | 2013年 / 56卷 / 3期
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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