信息与控制2017，Vol.46Issue(1)：46-52,7.DOI:10.13976/j.cnki.xk.2017.0046
一种间歇过程多批次融合线性变参数建模方法
A Multi-batch Fusion Linear Parameter Varying Modeling Method for Batch Process
摘要
Abstract
Due to the multi-batch characteristics of batch processes,a linear variable parameter (LPV) model,based on multiple batch data,is proposed to describe the batch process.The generic LPV modeling method for batch processes is a simple duplication of that for continuous processes,it only uses the information from a single batch and is subject to poor scalability.The proposed LPV method fuses the date of multiple batches and divides all the data into different stages according to the scheduling variables.At each stage,local models are established and then combined according to an exponential weighting function.In this model,an EM algorithm is employed for the fusion of data from multiple batches into parameter estimation,which avoids the influence of the initial value fluctuation of batches.The proposed method is evaluated using a simulated penicillin fermentation process.关键词
间歇过程/多批次/线性变参数/调度变量/EM算法/青霉素发酵Key words
batch process/multi-batches/liner parameter varying (LPV)/scheduling variables/EM (expectation-maximization)algorithm/Penicillin fermentation process分类
信息技术与安全科学引用本文复制引用
王幼琴,赵忠盖,刘飞..一种间歇过程多批次融合线性变参数建模方法[J].信息与控制,2017,46(1):46-52,7.基金项目
国家自然科学基金资助项目(61573169) （61573169）
流程工业综合自动化国家重点实验室开放课题基金资助项目(PAL-N201502) （PAL-N201502）
