Online Model-Adaptation for an Uncertain Liquid-Liquid Mixer System

Q3 Engineering

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI:10.1016/j.ifacol.2025.03.032

Daniel Topalovic , Chrysoula Bliatsiou , Jörn Villwock , Matthias Kraume , Steffi Knorn

引用次数: 0

Abstract

In this paper, a practical modeling approach for a batch-operated, stirred reactor is investigated that shows significant deviations in system behavior to the same actuation applied over multiple batches. Starting from an easily identifiable, sub-optimal, linear dynamical model to describe the basic dynamic behavior of the system, an augmented model reformulation is defined. This is used to model observed, nonlinear drift effects and static differences that can be seen in the system response over multiple batches, which can finally be estimated using an extended Kalman filter (EKF). The quality of this adaptive model approach that can be used in an online fashion is further assessed using a prediction error for all performed experiments.

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不确定液-液混合系统的在线模型自适应

本文研究了一种批量操作的搅拌反应器的实际建模方法，该方法显示了对多个批次施加相同驱动时系统行为的显著偏差。从一个容易识别的、次优的线性动力学模型开始描述系统的基本动态行为，定义了一个增广模型的重新表述。这用于模拟观察到的非线性漂移效应和静态差异，这些差异可以在多个批次的系统响应中看到，最终可以使用扩展卡尔曼滤波器（EKF）进行估计。这种可用于在线方式的自适应模型方法的质量通过对所有已进行的实验的预测误差进一步评估。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IFAC-PapersOnLine Engineering-Control and Systems Engineering

CiteScore

1.70

自引率

0.00%

发文量

1122

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