Robust State Estimation for Fouling Evolution in Batch Processes using the EM Algorithm

被引：3

作者：

Wu, Ouyang ^{[1
,2
]}

Imsland, Lars ^{[2
]}

Brekke, Edmund ^{[2
]}

Schneider, Stefan M. ^{[1
]}

Bouaswaig, Ala E. F. ^{[1
]}

Roth, Matthias ^{[1
]}

机构：

[1] BASF SE, Automat Technol, D-67056 Ludwigshafen, Germany

[2] Norwegian Univ Sci & Technol, Dept Engn Cybernet, N-7491 Trondheim, Norway

来源：

IFAC PAPERSONLINE | 2019年 / 52卷 / 01期

基金：

欧盟地平线“2020”;

关键词：

Batch-to-batch fouling; EM algorithm; T-distribution; Variational approximation; MAXIMUM-LIKELIHOOD; MODEL; OPTIMIZATION;

D O I：

10.1016/j.ifacol.2019.06.142

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Degradation such as fouling has significant negative impact on the efficiency of process manufacturing. Creating transparency about degradation is essential in the operations of the plants. This paper focuses on the state estimation of fouling in a multipurpose batch process, and the problem is formulated using an industrial case study. Due to the lack of a good model of fouling, the state estimation is integrated with parameter estimation using the expectation maximization (EM) algorithm, where the variational approximation method is employed for the intermediate robust state estimation in the E-step. The proposed state estimation is applied in the case study, which demonstrates the efficacy of the estimation of a recipe-independent key performance indicator for the batch-to-batch fouling. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：685 / 690

页数：6

共 18 条

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