Introducing a new nonlinear approach to model heat exchangers designed for control engineering applications

IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Yannick Fürst, Stefan Brandt, Martin Kriegel
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引用次数: 0

Abstract

A new low-order dynamic model is proposed to predict the nonlinear heat transfer in heat exchangers, using a modeling approach that does not require detailed information about the flow arrangement. On the primary side, a model of a throttling valve is added to include the control signal’s influence on the secondary side’s output temperature. The model does not consider time delays but uses variable time constants that depend on the mass flow rates. A two-step procedure is proposed to estimate the model parameters: first, the complete parameter vector is estimated to solve a parameter estimation problem. Then, a subset of the estimated parameters is tuned online using an Unscented Kalman Filter to fit the model further to reality. The accuracy of the model as well as the implementation of the parameter estimation are demonstrated using an example from practice.

引入新的非线性方法,为控制工程应用设计的热交换器建模
本文提出了一种新的低阶动态模型,用于预测热交换器中的非线性传热,采用的建模方法不需要有关流量布置的详细信息。在一次侧,增加了一个节流阀模型,以包括控制信号对二次侧输出温度的影响。该模型不考虑时间延迟,而是使用取决于质量流量的可变时间常数。建议采用两步程序来估算模型参数:首先,估算完整的参数向量,以解决参数估算问题。然后,使用在线调整器在线调整估计参数的一个子集,使模型进一步贴近现实。通过一个实际案例,展示了模型的准确性以及参数估计的实施。
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
European Journal of Control
European Journal of Control 工程技术-自动化与控制系统
CiteScore
5.80
自引率
5.90%
发文量
131
审稿时长
1 months
期刊介绍: The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field. The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering. The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications. Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results. The design and implementation of a successful control system requires the use of a range of techniques: Modelling Robustness Analysis Identification Optimization Control Law Design Numerical analysis Fault Detection, and so on.
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