文章基本信息

标题：Simple method for parameter identification of a nonlinear Greitzer compressor model ⁎
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作者：Christoph Josef Backi ; Jan Tommy Gravdahl ; Sigurd Skogestad 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：13
页码：198-203
DOI：10.1016/j.ifacol.2018.07.277
语种：English
出版社：Elsevier
摘要：AbstractThis work introduces a simple method to estimate state variables and identify parameters of a nonlinear dynamic Greitzer compressor model. The observer is based upon an extended Kalman filter, which estimates the dynamic states as well as a subset of parameters. In a Monte-Carlo-fashioned approach, the remaining set of parameters is then identified by minimizing an objective function representing the error between the measured variables and their estimates. The developments are demonstrated in numerical simulations.
关键词：KeywordsParameter identificationestimationobservability