The application on fuzzy neural control in boiler liquid level control system

被引：0
|
作者：
Cheng, Huanxin [1 ]
Zhang, Guoqing [1 ]
Li, Jing [1 ]
Cheng, Li [2 ]
Kong, Lingling [3 ]
机构：
[1] Qingdao Univ Sci & Technol, Qingdao, Shandong, Peoples R China
[2] Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Urumqi, Xinjiang, Peoples R China
[3] Res Inst Phys & Chem Engn Nucl Ind, Tianjin, Peoples R China
来源：
ADVANCES IN ENERGY, ENVIRONMENT AND MATERIALS SCIENCE | 2016年
关键词：
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
For the character of nonlinear and the time-varying in industrial boiler liquid level control process, which has been difficult to meet the requirements of control precision of nonlinear system based on the conventional PID cascade control, the paper puts forward the boiler liquid level control based on fuzzy neural network. It aims to put the self-learning ability of neural network into fuzzy control, which does not need to establish specific mathematical model to achieve the level control. Through the MATLAB design and simulation of the boiler liquid level system, the results are compared with the conventional PID control and fuzzy PID control, then it shows that the method is effective.
引用
收藏
页码：451 / 454
页数：4
相关论文
共 50 条
  • [41] Self-Tuning PID Control of Liquid Level System Based on Fuzzy Wavelet Neural Network Model
    Davanipour, M.
    Tehrani, R. Dadkhah
    Shabani-nia, F.
    2016 24TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2016, : 511 - 516
  • [42] Application of fuzzy neural network predictive control in material proportioning system
    Feng, Dongqing
    Xu, Xuehong
    Fei, Minrui
    Chen, Tiejun
    ICIEA 2006: 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3, PROCEEDINGS, 2006, : 146 - 151
  • [43] The APPliCation of Fuzzy Neural network Control in The AC Speed Adjustment System
    Jiang Yan-lei
    Han, Lian
    EMERGING MATERIALS AND MECHANICS APPLICATIONS, 2012, 487 : 166 - 170
  • [44] The application of compensatory fuzzy neural network in plastics thickness control system
    Yu, MH
    Qu, SH
    Jiang, CS
    2004 8TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1-3, 2004, : 2155 - 2159
  • [45] Application of fuzzy neural network predictive control in material proportioning system
    Feng, Dongqing
    Xu, Xuehong
    Fei, Minrui
    Chen, Tiejun
    2006 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3, 2006, : 213 - +
  • [46] Application of fuzzy neural control in the electrode regulator system of arc furnace
    Guan, Ping
    Liu, Xiaohe
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 7756 - 7760
  • [47] A fuzzy-neural adaptive control for MIMO nonlinear system with application
    Piao, YG
    Yang, ZQ
    Li, YQ
    Li, M
    He, XQ
    PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5, 2000, : 935 - 939
  • [48] Based on PLC fuzzy control algorithm in the application of level control
    Bo, Bu
    Chuang, Li
    Meng, Chen
    2016 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C), 2016, : 698 - 701
  • [49] Automation of Boiler Temperature and Water Level Control using Fuzzy Logic
    Rohman, Abdur
    Kakati, Bitopan
    Saikia, Riddhiman
    Das, Jamini
    Goswami, Amarjyoti
    Dey, Anilesh
    2016 INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), VOL. 1, 2016, : 799 - 804
  • [50] Optimization Control Strategy of Boiler Water Level Based on Fuzzy PID
    Li, Lian
    Ding, Wenkuan
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 5893 - 5896
12345