基于非线性鲁棒连续回归的汽油干点软测量  

Soft sensing for dry point of gasoline based on nonlinear robust continuum regression

作　　者：王改堂[1] 李平[2] 苏成利[2] 任朋辉[2] 

机构地区：[1]西北工业大学自动化学院,陕西西安710072 [2]辽宁石油化工大学信息与控制工程学院,辽宁抚顺113001

出　　处：《化工学报》2011年第8期2135-2139,共5页CIESC Journal

基　　金：辽宁省高校创新团队支持计划项目(2007T103);辽宁省高等学校优秀人才支持计划项目(2008RC32);辽宁'百千万人才工程'项目(2008921039)~~

摘　　要：针对RCR算法难以建立高精度的非线性软测量模型的问题,提出了一种径向基函数(radial basis func-tion,RBF)与鲁棒连续回归(robust continuum regression,RCR)相结合的非线性RCR(nonlinear RCR,NL-RCR)建模方法。该方法首先应用RBF将非线性样本数据映射到高维特征空间中,然后在高维特征空间中建立RCR线性回归模型。本文通过仿真实验,验证了方法的有效性。并将其应用于延迟焦化汽油干点的软测量建模中,获得了比RCR和RBF-PLS算法更高的预测精度。A nonlinear robust continuum regression（NLRCR）modeling method combing radial basis function（RBF）and robust continuum regression（RCR）is presented to solve the problem that RCR algorithm hard to build the nonlinear system modeling of high predicting precision.Firstly,this approach uses RBF to carry out mapping transformation from nonlinear sample data to high dimension eigen space.Then,RCR algorithm is used for building linear regression modeling in high dimension eigen space.Simulation experiment is performed to show the effectiveness of this method.And it is utilized to develop a soft sensor model for the gasoline dry point in delayed coking,and highly precise prediction results are obtained compared with RCR and RBF-PLS methods.

关 键 词：径向基函数 鲁棒连续回归 汽油干点 软测量 

分 类 号：O212.4[理学—概率论与数理统计] TQ021.8[理学—数学]