The Extended Kalman Filter for State Estimation of Dynamic UV Flash Processes

被引：3

作者：

Ritschel, Tobias K. S. ^{[1
,2
]}

Jorgensen, John Bagterp ^{[1
,2
]}

机构：

[1] Tech Univ Denmark, Dept Appl Math & Comp Sci, DK-2800 Lyngby, Denmark

[2] Tech Univ Denmark, CERE, DK-2800 Lyngby, Denmark

来源：

IFAC PAPERSONLINE | 2018年 / 51卷 / 08期

关键词：

Extended Kalman filter; State estimation; UV flash; Differential-algebraic equations; SIMULATIONS; EQUATIONS; FLOW;

D O I：

10.1016/j.ifacol.2018.06.372

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present an extended Kalman filter for state estimation of semi-explicit index-1 differential-algebraic equations. It is natural to model dynamic UV flash processes with such differential-algebraic equations. The UV flash is a mathematical statement of the second law of thermodynamics. It is therefore important to thermodynamically rigorous models of many phase equilibrium processes. State estimation of UV flash processes has applications in control, prediction, monitoring, and fault detection of chemical processes in the oil and gas industry, e.g. separation, distillation, drilling of oil wells, multiphase flow in oil pipes, and oil production. We present a numerical example of a UV flash separation process. It involves soft sensing of vapor-liquid compositions based on temperature and pressure measurements. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：164 / 169

页数：6

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