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
相关论文
共 50 条
  • [41] Constructing rule-bases by self-learning in fuzzy control systems
    Armensky, EV
    Neroda, VY
    [J]. JOINT CONFERENCE - 1996: IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE & IMEKO TECHNICAL COMMITTEE 7, CONFERENCE PROCEEDINGS, VOLS I AND II: QUALITY MEASUREMENTS: THE INDISPENSABLE BRIDGE BETWEEN THEORY AND REALITY (NO MEASUREMENTS? NO SCIENCE!), 1996, : 1135 - 1137
  • [42] A portable self-learning fuzzy logic control system for muscle relaxation
    Edwards, ND
    Mason, DG
    Ross, JJ
    [J]. ANAESTHESIA, 1998, 53 (02) : 136 - 139
  • [43] Self-learning fuzzy neural networks for control of the arc welding process
    Chen, SB
    Wu, L
    Wang, QL
    [J]. ICNN - 1996 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS. 1-4, 1996, : 1209 - 1214
  • [44] Method of membership-functions self-learning based on fuzzy genetic algorithm
    Northwestern Polytechnical Univ, Xi'an, China
    [J]. Xibei Gongye Daxue Xuebao, 1 (88-92):
  • [45] Hybrid GA-BP self-learning algorithm for fuzzy logic system
    Wang, H.L.
    Lu, Q.F.
    Tong, M.A.
    [J]. Kongzhi Lilun Yu Yinyong/Control Theory and Applications, 2001, 18 (01):
  • [46] Self-testing and self-learning fuzzy expert system for technological process control
    Lekova, A
    Batanov, D
    [J]. COMPUTERS IN INDUSTRY, 1998, 37 (02) : 135 - 141
  • [47] Directional self-learning of genetic algorithm
    Cong, Lin
    Jiao, Licheng
    Sha, Yuheng
    Liu, Fang
    [J]. GECCO 2005: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOLS 1 AND 2, 2005, : 1569 - 1570
  • [48] Design and Simulation of Fuzzy Control System for Water Temperature of Heat Exchanger
    Ding Zhenjun
    Fang Lide
    Song Zhanbiao
    Zhang Yameng
    [J]. 2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 4, 2010, : 122 - 125
  • [49] Temperature Sensor Faults Monitoring in a Heat Exchanger Using Evolving Fuzzy Classification
    Mouhoun, Meryem
    Habbi, Hacene
    [J]. ADVANCES IN COMPUTING SYSTEMS AND APPLICATIONS, 2019, 50 : 311 - 321
  • [50] A stable self-learning PID control based on the artificial immune algorithm
    Yang, Liu
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS ( ICAL 2009), VOLS 1-3, 2009, : 1237 - 1242
12345