摘要
该文是鞍钢烧结总厂球团车间燃烧系统优化控制的重要组成部分,针对焙烧的实际生产流程,深入分析了焙烧系统的动态和稳态特性并采集到实际数据,运用混合学习算法建立了实际运行过程的模糊模型;进而运用MATLAB对所建模型进行了仿真检验,并将仿真检验结果与BP网建模进行比较,说明模糊建模能很好的逼近实际系统的动态响应过程,并在收敛速度及建模精度方面优于BP网。
This paper is an important part of optimum control for burning system in pellet workshop of AnGang Sintering Factory. On the basis of analyzing both the dynamic and static characteristics of sintering system a series of practical testing data are acquired. And then a kind of fuzzy model is built based on the hybrid learning algorithm . Furthermore, the simulation test of the fuzzy model is carried out in MATLAB, which shows that the model can approximate very well the dynamic response process of the real system. Finally, the advances in the convergence velocity and in the accuracy of the modeling are illustrated by means of the comparison with the property of back-propagation network.
出处
《计算机仿真》
CSCD
2004年第12期73-75,共3页
Computer Simulation
关键词
模糊建模
混合学习算法
焙烧过程
Fuzzy modeling
Hybrid learning algorithm
Sintering process