Combustion control using B-spline based furnace temperature distribution

被引:0
|
作者
Zhang, Jian-Hua [1 ]
Tian, Bin [1 ]
Hou, Guo-Lian [1 ]
Zhang, Jin-Fang [1 ]
机构
[1] N China Elect Power Univ, Dept Automat, Beijing 102206, Peoples R China
关键词
B-spline neural networks; process control; combustion;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a closed-loop combustion control algorithm for a coal-fired boiler using the recently developed output distribution control theory. The furnace temperature distribution (FTD) is regarded as the controlled variable, which demonstrates the stability, economy and reliability of combustion process. Following the FTD obtained by Fluent simulation software, the equivalent B-spline FTD model is then established. Consequently, the control strategy is provided so as to ensure the output FTD will follow the desired distribution. The simulation study shows the effectiveness of the proposed approach.
引用
收藏
页码:509 / 513
页数:5
相关论文
共 50 条
  • [1] Temperature Control in Brazing Furnace Based on B-spline Fuzzy Neural Network
    Yu Qiang-guo
    ADVANCES IN MANUFACTURING SCIENCE AND ENGINEERING, PTS 1-4, 2013, 712-715 : 2816 - 2820
  • [2] Inverse Calculation of Burden Distribution Matrix Using B-Spline Model Based PDF Control in Blast Furnace Burden Charging Process
    Zhang, Yong
    Zhou, Ping
    Lv, Donghao
    Zhang, Sen
    Cui, Guimei
    Wang, Hong
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (01) : 317 - 327
  • [3] Shaping of molecular weight distribution using B-spline based predictive probability density function control
    Yue, H
    Zhang, JF
    Wang, H
    Cao, LL
    PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2004, : 3587 - 3592
  • [4] COMPUTING B-SPLINE CONTROL POINTS USING POLAR FORMS
    SEIDEL, HP
    COMPUTER-AIDED DESIGN, 1991, 23 (09) : 634 - 640
  • [5] Unsupervised learning of control surfaces based on B-spline models
    Zhang, JW
    VanLe, K
    Knoll, A
    PROCEEDINGS OF THE SIXTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS I - III, 1997, : 1725 - 1730
  • [6] Conditions recognition of fused magnesia furnace based on dynamic characteristics of B-spline network
    Jiang, Peng
    Lu, Shao-Wen
    Li, Ming-Jie
    Zhao, Kai-Wen
    Kongzhi yu Juece/Control and Decision, 2021, 36 (11): : 2735 - 2742
  • [7] Adaptive chemistry lookup tables for combustion simulations using optimal B-spline interpolants
    Bode, Mathis
    Collier, Nathan
    Bisetti, Fabrizio
    Pitsch, Heinz
    COMBUSTION THEORY AND MODELLING, 2019, 23 (04) : 674 - 699
  • [8] B-spline control nets for developable surfaces
    Fernandez-Jambrina, L.
    COMPUTER AIDED GEOMETRIC DESIGN, 2007, 24 (04) : 189 - 199
  • [9] CONTROL POINT INSERTION FOR B-SPLINE CURVES
    GONSKA, HH
    ROTH, A
    BULLETIN OF THE AUSTRALIAN MATHEMATICAL SOCIETY, 1988, 38 (02) : 307 - 313
  • [10] A Repetitive Control Scheme for Industrial Robots Based on B-Spline Trajectories
    Biagiotti, Luigi
    Moriello, Lorenzo
    Melchiorri, Claudio
    2015 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2015, : 5417 - 5422