Model Identification of Coal Mill Control System Based on Genetic Algorithm

被引：0
|
作者：
Zeng De-liang [1 ]
Zhang Gang [1 ]
Chen Yan-qiao [2 ]
Zheng Yan-qiu [1 ]
机构：
[1] North China Elect Power Univ, Beijing 102206, Peoples R China
[2] Natl Inst Sci & Technol, Nanjing 210031, Jiangsu, Peoples R China
来源：
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年
关键词：
Coal Mill Control System; Model Identification; Two - point Identification; Genetic algorithm identification;
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：
This paper is based on the experimental data of the coal mill control system of the full incentive simulator. The two - point method and the genetic algorithm are used to identify the experimental results. The results are compared with each other, and the transfer function is obtained. The study of the coal mill control system model is the basis for analyzing the boiler combustion control system, establish a precise coal mill control system model, can further enhance the boiler combustion efficiency and economic benefits, and better protection of the safe operation of the boiler unit.
引用
收藏
页码：1607 / 1610
页数：4
相关论文
共 50 条
  • [11] System identification using a genetic algorithm and its application to internal adaptive model control
    Kumon, T
    Suzuki, T
    Iwasaki, M
    Matsuzaki, M
    Matsui, N
    Okuma, S
    ELECTRICAL ENGINEERING IN JAPAN, 2003, 142 (04) : 45 - 55
  • [12] Loop Priority Based Decentralized Control for Coal Ball Mill System
    Luo, Yunhui
    Liu, Hongbo
    Jia, Lei
    Wang, Lei
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 2198 - 2203
  • [13] Optimal cooling strategy of the laminar cooling control system for hot strip mill based on genetic algorithm
    Fu, Pei-Zhong
    Dong, Jie
    Yang, Wei
    Hu, Guang-Da
    Yin, Yi-Xin
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2009, 26 (08): : 918 - 922
  • [14] Mill Feed Control System and Algorithm Based on Python']Python
    Zhang, Wenkang
    Liu, Dan
    Du, Yu
    Liu, Ruitao
    Wang, Daqian
    Yu, Longzhou
    Wen, Shuming
    MINERALS, 2022, 12 (07)
  • [15] Derivation and validation of a coal mill model for control
    Niemczyk, Piotr
    Bendtsen, Jan Dimon
    Ravn, Anders Peter
    Andersen, Palle
    Pedersen, Tom Sondergaard
    CONTROL ENGINEERING PRACTICE, 2012, 20 (05) : 519 - 530
  • [16] Research of Model Identification for Control System Based on Improved Differential Evolution Algorithm
    Zheng, Li
    Peng, Daogang
    Sun, Yuzhen
    Gao, Sheng
    ADVANCED COMPUTATIONAL METHODS IN LIFE SYSTEM MODELING AND SIMULATION, LSMS 2017, PT I, 2017, 761 : 282 - 293
  • [17] System Identification of Quadrotor UAV Based on Genetic Algorithm
    Yang, Jinpeng
    Cai, Zhihao
    Lin, Qing
    Zhang, Dongyao
    Wang, Yingxun
    2014 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC), 2014, : 2336 - 2340
  • [18] Three Tank system Identification Based on Genetic Algorithm
    Ahmed, Marwa Ben Haj
    Majdoub, Nesrine
    Ladhari, Taoufik
    M'Sahli, Faouzi
    PROCEEDINGS OF THE 2020 17TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD 2020), 2020, : 979 - 984
  • [19] Parameter identification of bilinear system based on genetic algorithm
    Wang, Zhelong
    Gu, Hong
    BIO-INSPIRED COMPUTATIONAL INTELLIGENCE AND APPLICATIONS, 2007, 4688 : 83 - +
  • [20] Parameter identification of bilinear system based on genetic algorithm
    Wang, Zhelong
    Gu, Hong
    Wang, Hongwei
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 172 - 176
12345