Application research of BP neural network PID in control system of heat exchange station

被引：0
|
作者：
Liu, Chunlei [1 ,2 ]
Zhang, Mengru [1 ,2 ]
Zhen, Wenshuang [1 ,2 ]
Wang, Peng [1 ,2 ]
Ding, Yibo [1 ,2 ]
Cai, Yang [1 ,2 ]
Sun, Yong [1 ,2 ]
机构：
[1] Hebei Univ Architecture, Dept Energy Engn, Zhangjiakou 075000, Hebei, Peoples R China
[2] Hebei Energy Storage & Heating Technol Innovat Ct, Zhangjiakou, Hebei, Peoples R China
来源：
JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING | 2023年 / 23卷 / 06期
关键词：
Heating auto-control system; BPNN; PID control; PLC;
D O I：
10.3233/JCM-226972
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In the direction of better resolution of time lag, nonlinearity and uncertainty in the heating system, a BPNN-PID (BP neural network PID) controller is proposed in this paper. A complete heating auto-control system is designed with the experimental platform of a university heat exchange station in Zhangjiakou as the research background. The auto-control system takes Programmable Logic Controller (PLC) as the control core, uses BPNN algorithm to optimize the PID control parameters, and finally takes outlet temperature of 1# plate exchanger as the main control parameter to conduct experimental research on BPNN-PID control and single-loop feedback control respectively. The results show that compared with the single-loop feedback controller, the PID control based on BPNN algorithm has superior control quality, with shorter adjustment time, smaller overshoot, finer control accuracy and stability.
引用
收藏
页码：2851 / 2866
页数：16
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