Non-linear system identification using closed-loop data with no external excitation: The case of a lean combustion chamber
Non-linear system identification using closed-loop data with no external excitation: The case of a lean combustion chamber
复制标题
使用无外部激励的闭环数据进行非线性系统识别：稀薄燃烧室的情况
DOI：
10.1080/00207170110090660
复制
发表时间：
2001
影响因子：
2.1
通讯作者：
Wayne J. Dunstan
中科院分区：
文献类型：
--
作者：
S. Savaresi;R. Bitmead;Wayne J. Dunstan
本文分析了在极限环中运行的稀薄预混燃烧过程的一组测量数据。由于数据采集是在闭环系统中进行的，且系统没有外部激励，辨识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。它将表明，尽管可用信息很少，但灰箱非线性模型是可以估计的。该模型解释了极限环基本振荡和影响燃烧室压力的非简谐高频信号。
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.