Self-Learning Fuzzy Algorithm Optimized Temperature Control and Efficiency Monitoring of Heat Exchanger

被引：0
|
作者：
Deng, Chengkun [1 ]
Wang, Zaiying [1 ]
机构：
[1] Xian Univ Sci & Technol, Sch Elect & Control Engn, Xian 710054, Shaanxi, Peoples R China
来源：
2018 37TH CHINESE CONTROL CONFERENCE (CCC) | 2018年
关键词：
Heat Exchange; Temperature Control; Self-learning Fuzzy; Hardware-in-the-Loop Simulation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this article, through the introduction and analysis of the shell and tube heat exchanger, given the calculation formula, transfer resistance and equation about dynamic characteristics of the exchanger. A self-learning fuzzy algorithm is designed to optimize main temperature controller PID parameters online, did the Matlab simulation and hardware-in-the-loop simulation experiment in the platform of SMPT1000. Achieved on-line temperature control and efficiency monitor of the heat exchanger. Experiments show that the self-learning fuzzy optimization of the heat exchanger temperature control and efficiency monitor, have high temperature control precision, short adjustment time, strong disturbance resistance and high heat transfer efficiency. o(3) It solves the problem that the temperature of the heat exchanger is not well controlled and the efficiency is difficult to be effectively monitored.
引用
收藏
页码：3394 / 3399
页数：6
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