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基于信息融合的带钢厚度预测控制
引用本文:彭开香,赖春山. 基于信息融合的带钢厚度预测控制[J]. 北京科技大学学报, 2011, 33(3): 358-362
作者姓名:彭开香  赖春山
作者单位:北京科技大学信息工程学院;北京科技大学钢铁流程先进控制教育部重点实验室;
基金项目:中央高校基本科研业务费专项基金资助项目(No.FRF--AS--09--006B)
摘    要:
通过把轧制力方程和厚度控制方程在小范围内线性化、离散化,用递推最小二乘法辨识出系统的状态空间模型.给出了基于Kalman滤波法的最优信息融合算法,并针对热连轧这个复杂的多变量系统设计了异步信息融合估计算法.将模型用于热连轧机带钢厚度预测中,同时也预测带钢塑性系数Q.最后把实时预测出的带钢出口厚度和带钢塑性系数应用于带钢热连轧厚度控制系统,提高了带钢厚度质量.

关 键 词:热轧  带钢  厚度控制  最小二乘逼近  信息融合

Predicted control for strip thickness based on information fusion
PENG Kai-xiang,LAI Chun-shan. Predicted control for strip thickness based on information fusion[J]. Journal of University of Science and Technology Beijing, 2011, 33(3): 358-362
Authors:PENG Kai-xiang  LAI Chun-shan
Affiliation:PENG Kai-xiang1,2),LAI Chun-shan1,2)1) School of Information Engineering,University of Science and Technology Beijing,Beijing 100083,China2) Key Laboratory of the Ministry of Education of China for Advanced Control of Iron and Steel Process,China
Abstract:
A state-space model of the control system in hot continuous rolling was proposed by using a recursive least squares algorithm by linearizing and discretizing the rolling force and thickness control equations.After an optimal information fusion algorithm based on Kalman filtering was presented,an asynchronous information fusion estimation algorithm was built for the complex multi-variable system of hot continuous rolling.This model was applied into the prediction of strip thickness and plasticity coefficient...
Keywords:hot rolling  strips  thickness control  least squares approximations  information fusion  
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