Intelligent Control Strategy Based on PSO-Elman Prediction Model for Ignition Temperature in Sintering Process

被引：0
作者：
Cen, Yanzhuo [1 ,2 ]
An, Jianqi [1 ,2 ]
机构：
[1] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan 430074, Peoples R China
来源：
PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC) | 2019年
基金：
中国国家自然科学基金;
关键词：
Sintering Process; Ignition Temperature; PSO-Elman Prediction Model; Intelligent Control;
D O I：
10.23919/chicc.2019.8865286
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Ignition temperature in a sintering process is a dominant factor for the quality of sinter ore. However, it is difficult to control the temperature since the pressure of the gas that is used in the ignition fluctuates constantly. This paper presents an intelligent control to stabilize the ignition temperature in a sintering process. First, this paper analyzes the characteristics of an ignition process and studies the main factors affecting the ignition temperature. Then, a particle swarm optimization (PSO)-Elman model is established to predict the ignition temperature. Next, this paper describes an intelligent control system, including a fuzzy controller, two expert controllers, and a switching controller. Finally, the experimental results based on actual run data show that the intelligent control strategy stabilizes the ignition temperature.
引用
收藏
页码：2846 / 2851
页数：6
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