Research on Temperature Control System in a Hermetic Chamber with Discrete Heaters Based on Fuzzy Control by OPC Technology

被引：0
作者：
Shen, Dong-kai [1 ]
Yang, Xiao [1 ]
Chen, Han-xiao [1 ]
机构：
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China
来源：
2015 8TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 1 | 2015年
关键词：
temperature control; discrete heater; MIMO; Fuzzy control; OPC;
D O I：
10.1109/ISCID.2015.235
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a novel control strategy based on fuzzy control is introduced to decrease the difference temperature between the two layers in a hermetic chamber with three layer discrete heat sources on both sidewalls (a multi-input-multioutput system). The overall measurement and temperature control system is implemented in PLC and fuzzy control is realized in MATLAB, so we make PLC communicates with MATLAB based on OPC technology. The experiment results show that a better dynamic response and steady-state characteristic of the temperature control system and a well uniformity of the temperature in the chamber can be well achieved by this control strategy and the fuzzy controller.
引用
收藏
页码：584 / 587
页数：4
相关论文
共 9 条
  • [1] Thermodynamic analysis of PID temperature controlled heat pump system
    Gurel, Ali Etem
    Ceylan, Ilhan
    [J]. CASE STUDIES IN THERMAL ENGINEERING, 2014, 2 : 42 - 49
  • [2] Control of temperature uniformity in the temperature chamber with centrifugal acceleration
    He, Wen
    Xu, Guanhua
    Shen, Runjie
    [J]. JOURNAL OF PROCESS CONTROL, 2014, 24 (12) : 1 - 6
  • [3] Design of an Intelligent Temperature Control System Based on the Fuzzy Self-tuning PID
    Jiang, Wei
    Jiang, Xuchu
    [J]. INTERNATIONAL SYMPOSIUM ON SAFETY SCIENCE AND ENGINEERING IN CHINA, 2012, 2012, 43 : 307 - 311
  • [4] Fuzzy almost disturbance decoupling for MIMO nonlinear uncertain systems based on high-gain observer
    Li, Changying
    Wang, Wei
    [J]. NEUROCOMPUTING, 2013, 111 : 104 - 114
  • [5] Optimization of Fuzzy Controller Parameters for the Temperature Control of Superheated Steam
    Nahlovsky, Tomas
    [J]. 25TH DAAAM INTERNATIONAL SYMPOSIUM ON INTELLIGENT MANUFACTURING AND AUTOMATION, 2014, 2015, 100 : 1547 - 1555
  • [6] Influence of temperature, frequency and moisture content on honey viscoelastic parameters - Neural networks and adaptive neuro-fuzzy inference system prediction
    Oroian, Mircea
    [J]. LWT-FOOD SCIENCE AND TECHNOLOGY, 2015, 63 (02) : 1309 - 1316
  • [7] SHEN Dong-kai, 2015, IEEE ADV INF TECHN E
  • [8] Fuzzy self-tuning PID control of the operation temperatures in a two-staged membrane separation process
    Wang, Lei
    Du, Wencai
    Wang, Hai
    Wu, Hong
    [J]. JOURNAL OF NATURAL GAS CHEMISTRY, 2008, 17 (04): : 409 - 414
  • [9] Zhou Tansheng, 2013, J MEASUREMENT SCI IN, V2, P190
1