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Non-linear system identification using closed-loop data with no external excitation: the case of a lean combustion chamber

机译:使用无外部激励的闭环数据进行非线性系统识别:稀薄燃烧室

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摘要

This paper deals with the analysis of a set of measurements collected on a lean premixed combustion process operating in a limit cycle. Due to the fact that the data are collected in closed-loop and the system has no external excitation, the identification task is particularly challenging. This work mainly focuses on the issue of the feasibility of the identification task. It will be shown that, despite the paucity of information available, a grey-box non-linear model can be estimated, The model provides an explanation both of the limit-cycle fundamental oscillation and of a non-harmonic high-frequency signal affecting the pressure of the combustion chamber.
机译:本文分析了在极限循环下进行的稀薄预混燃烧过程中收集的一组测量值的分析。由于数据是闭环收集的,并且系统没有外部激励,因此识别任务特别具有挑战性。这项工作主要集中在识别任务的可行性问题上。结果表明,尽管缺乏可用的信息,但仍可以估算出灰箱非线性模型。该模型提供了极限循环基本振荡和影响谐波的非谐波高频信号的解释。燃烧室的压力。

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