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
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