The Extended Kalman Filter for State Estimation of Dynamic UV Flash Processes <ce:cross-ref refid='fn1'> <ce:sup loc='post'>?</ce:sup> </ce:cross-ref>

Tobias K.S. Ritschel; John Bagterp J?rgensen

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

机译：用于动态UV闪光过程状态估计的扩展卡尔曼滤波器？

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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.

机译：我们提出了一种扩展的卡尔曼滤波器，用于半显式指数-1微分-代数方程的状态估计。用这种微分-代数方程对动态UV闪光过程进行建模是很自然的。紫外线闪光是热力学第二定律的数学表述。因此，对于许多相平衡过程的热力学严格模型很重要。 UV闪蒸过程的状态估计可应用于石油和天然气行业中化学过程的控制，预测，监视和故障检测。分离，蒸馏，油井钻探，油管中的多相流以及石油生产。我们提供了一个紫外线闪蒸分离过程的数值示例。它涉及根据温度和压力测量值对气液成分进行软检测。

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来源
《IFAC PapersOnLine》 |2018年第8期|共6页
作者
Tobias K.S. Ritschel; John Bagterp J?rgensen;
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中图分类自动化技术、计算机技术;
关键词
Extended Kalman filterState estimationUV flashDifferential-algebraic equations;

机译：扩展卡尔曼滤波器状态估计UV flash微分代数方程;

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1. Distributed Kalman filtering for Time-Space Gaussian Processes * * This work is supported by Progetto di Ateneo CPDA147754/14-New statistical learning approach for multi-agents adaptive estimation and coverage control. [J] . M. Todescato, A. Dalla Libera, R. Carli, IFAC PapersOnLine . 2017,第1期

机译：时空高斯过程的分布式卡尔曼滤波 * * Progetto di Ateneo CPDA147754 / 14支持这项工作-新的统计学习多主体自适应估计和覆盖控制的方法。
2. State and Parameter Estimation in Hall-Héroult Cells using Iterated Extended Kalman Filter ? [J] . Yuchen Yao, Jie Bao IFAC PapersOnLine . 2018,第21期

机译：使用迭代扩展卡尔曼滤波器的Hall-Héroult单元中的状态和参数估计？
3. Three examples of the stability properties of the invariant extended Kalman filter * * This work is supported by the company Safran. [J] . A. Barrau, S. Bonnabel IFAC PapersOnLine . 2017,第1期

机译：不变扩展卡尔曼滤波器的稳定性属性的三个示例 * < ce：footnote id =“ fn1”> * 赛峰公司支持这项工作。
4. The Extended Kalman Filter for State Estimation of Dynamic UV Flash Processes [C] . Tobias K. S. Ritschel, John Bagterp Jorgensen IFAC Workshop on Automatic Control in Offshore Oil and Gas Production . 2018

机译：用于动态UV闪存进程的状态估计的扩展卡尔曼滤波器
5. Kalman filter design for real-time estimation of modal parameters and cutting force coefficients for determining the dynamic stability of high-speed low-radial-immersion milling processes. [D] . Bryan, Josiah A. 2014

机译：卡尔曼滤波器设计可实时估计模态参数和切削力系数，从而确定高速低径向浸入式铣削过程的动态稳定性。
6. Integrated fMRI Preprocessing Framework Using Extended Kalman Filter for Estimation of Slice-Wise Motion [O] . Basile Pinsard, Arnaud Boutin, Julien Doyon, 2018

机译：使用扩展卡尔曼滤波器的集成fMRI预处理框架用于估计切片运动
7. Nonlinear Filters for State Estimation of UV Flash Processes [O] . Tobias K. S. Ritschel, John Bagterp Jorgensen 2018

机译：用于UV闪存过程的状态估计的非线性滤波器

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

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