摘要
石化企业中常减压加热炉是一类复杂的控制对象,特别是燃烧系统和多路进料支管出口氧含量系统,是相互关联耦合的多变量时变系统。基于现场所收集的数据,通过对普通ARMA模型进行改进,把每个输入分量分别进行时间滞后,且把输入向量前的多项式增加可调节的自由度,从而建立一种改进的ARMA模型,进而对管式加热炉氧含量模型进行辨识。辨识结果与普通的ARMA模型所得到的结果相比具有更加精确的辨识效果,并可根据实际需要,调整模型阶次以达到更高精度。最后通过一组新观测数据对辨识所得到的模型进行了检验,表明所提出的模型具有很高的辨识精度和泛化能力。
Atmospheric and vacuum furnace is a kind of complex control objects in petrochemical enterprises;especially,the combustion system and export oxygen content system of multi-channel feeding branch pipes are two intercoupling multivariable time-varying systems.According to the data collected in industrial field,ARMA model is improved;a time lag is put in each input;an adjustable degree of freedom is added to the polynomial in front of the input vector;and an improved ARMA model is established and used to identify the oxygen content of the tubular-furnace.Compared with ordinary ARMA model,the improved model can obtain more accurate identification results.Moreover,according to actual needs,higher precision can be achieved through adjusting the order of the system model.Finally,another set of field data are used to confirm the effectiveness of the improved ARMA model,which demonstrates the precision and generalization of the improved model.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2011年第5期1015-1020,共6页
Chinese Journal of Scientific Instrument
基金
天津市科技支撑重点项目(No.10ZCKFGX03000)
天津市科技发展计划项目(No.09ZXCXGX19300)
科技部中小企业创新基金(No.09C262112022954)
天津市自然科学基金重点项目(No.07JCZDJC09600)
天津高校科技发展基金(No.20080826)资助项目
关键词
改进ARMA模型
管式加热炉
预测误差法
系统辨识
improved ARMA model
tubular-furnace
prediction error method
system identification
