Electrical Engineering Design Method Based on Neural Network and Application of Automatic Control System

被引：0
|
作者：
Zhang, Zhe [1 ]
Zhang, Yongchang [1 ]
机构：
[1] Shijiazhuang Vocat Coll Finance & Econ, Coll Informat Engn, Shijiazhuang, Hebei, Peoples R China
来源：
JOURNAL OF INFORMATION PROCESSING SYSTEMS | 2022年 / 18卷 / 06期
关键词：
Automatic Control; Electrical Engineering Design; Fault Tolerant Control; Neural Network; MODEL;
D O I：
10.3745/JIPS.04.0257
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The existing electrical engineering design method and the dynamic objective function in the application process of automatic control system fail to meet the unbounded condition, which affects the control tracking accuracy. In order to improve the tracking control accuracy, this paper studies the electrical engineering design method based on neural network and the application of automatic control system. This paper analyzes the structure and working mechanism of electrical engineering automation control system by an automation control model with main control objectives. Following the analysis, an optimal solution of controllability design and fault-tolerant control is figured out. The automatic control power coefficient is distributed based on an ideal control effect of system. According to the distribution results, an automatic control algorithm is based on neural network for accurate control. The experimental results show that the electrical automation control method based on neural network can significantly reduce the control following error to 3.62%, improve the accuracy of the electrical automation tracking control, thus meeting the actual production needs of electrical engineering automation control system.
引用
收藏
页码：755 / 762
页数：8
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