«上一篇/Previous Article|本期目录/Table of Contents|下一篇/Next Article»

《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:

第21卷

期数:

2000年第4期

页码:

357-360

栏目:

出版日期:

2000-10-20

文章信息/Info

Title:

A Study on Strategy of Controlling Cement Calcination in Shaft Kiln

文章编号:

1000-5013(2000)04-0357-04

作者:

方千山; 王永初

华侨大学电气工程与自动化系, 泉州362011; 华侨大学机电工程系, 泉州362011

Author(s):

Fang Qianshan¹;  Wang Yongchu²

1.Dept. of Elec. Eng. & Auto., Huaqiao Univ., ² Dept. of Electromech. Eng., Huaqiao Univ., 362011, Quanzhou

关键词:

立窑;  煅烧过程;  神经网络;  模糊控制;  自组织模糊控制器

Keywords:

shaft kiln;  calcination;  neural network;  fuzzy control;  self organizing controller

分类号:

TQ172

DOI:

10.3969/j.issn.1000-5013.2000.04.006

摘要:

从机械化立窑水泥煅烧过程的特点及其控制系统的现状出发,运用神经网络和模糊控制技术,提出基于神经网络的立窑水泥煅烧过程的模糊控制策略 .据此,设计出以控制策略为核心的立窑水泥煅烧过程自组织控制器 .系统仿真及运行结果表明,该控制系统具有很好的鲁棒性、稳定性,其控制效果较为满意

Abstract:

A fuzzy strategy based on neural network is advanced for controlling calcination of cement in shaft kiln. In accordance with the peculiarity of cement calcination in mechanized shaft kiln and the present state of its control system, the strategy is advanced by comprehensive utilization of neural network and fuzzy control technigue. And a self organizing controller with this control strategy as core is designed for cement calcination in shaft kiln. As shown by system simulation and result of operation, this control system has very good robustness and stability, it has archieved satisfactory effect of control.

备注/Memo

备注/Memo:

华侨大学科研基金资助项目

常用功能

更新日期/Last Update: 2014-03-23