首页> 外文期刊>Journal of the Institution of Engineers (Inida) >Dynamic Data Driven Applications Systems of Combustion Instability by Multilayer Group Method of Data Handling Algorithms
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Dynamic Data Driven Applications Systems of Combustion Instability by Multilayer Group Method of Data Handling Algorithms

机译:数据处理算法的多层组方法在燃烧不稳定性动态数据驱动应用系统中的应用

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摘要

Owing to the feedback coupling of the dominant processes of heat release, dynamic instability occurs in combustion processes. The control of dynamic instability in continuous combustion systems is one of the most successful applications of control technology in computational fluid mechanics. Dynamic data driven applications systems (DDDAS) paradigms relating to propulsion processes entail the ability to dynamically incorporate data into an execution application. Models of combustion instability have been derived using system-identification-based methods. The heat release from the combustion of reactants alters the heat release dynamics closing the loop. The most dominant dynamics that are of concern in combustion systems pertain to the unsteady temperature. This investigation uses input-output data and a system identification approach to determine the underlying model for which active control strategies can be designed and implemented experimentally. The process responsible for energizing the temperature oscillations is heat release. The modelling of heat release dynamics thus constitutes a study of the mechanisms that induce these fluctuations and their quantification. The present work attempts to obtain dynamic descriptions of temperature of a space shuttle main engine for development of a real time failure detection algorithms using multilayer group method of data handling algorithm (GMDH).
机译:由于主要放热过程的反馈耦合,在燃烧过程中发生动态不稳定性。连续燃烧系统中动态不稳定性的控制是控制技术在计算流体力学中最成功的应用之一。与推进过程有关的动态数据驱动的应用程序系统(DDDAS)范式要求能够动态地将数据合并到执行应用程序中。已经使用基于系统识别的方法得出了燃烧不稳定性的模型。反应物燃烧释放的热量改变了闭合回路的释放动力学。燃烧系统中最重要的动力学问题涉及不稳定的温度。这项研究使用输入输出数据和系统识别方法来确定基础模型,针对该模型可以通过实验设计和实施主动控制策略。激发温度振荡的过程是放热。因此,放热动力学的模型构成了对引起这些波动及其量化的机理的研究。本工作试图获得用于航天飞机主机温度的动态描述,以开发使用多层组数据处理算法(GMDH)的实时故障检测算法。

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