文章基本信息

标题：Non-linear Closed-Loop Identification of CSTR in the presence of a Non-stationary Disturbances
本地全文：下载
作者：Ibrahim Aljamaan ; David Westwick ; Michael Foley 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：28
页码：1029-1034
DOI：10.1016/j.ifacol.2015.12.266
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, a continuous stirred tank reactor (CSTR) is identified in closed loop using a direct prediction error based approach. This common process control system is represented by Hammerstein model, a memoryless non-linearity in cascade with a linear dynamic subsystem. In direct closed-loop identification, the process and noise models are identified using an open-loop prediction error minimization approach. The noise model is represented by an Auto Regressive Integrated Moving Average (ARIMA) model, as disturbances in chemical processes are often non-stationary, consisting of sequences of random steps. The Hammerstein system is identified in the presence of this non-stationary disturbance via a differencing based technique. Finally, simulation examples, validation tests and results comparisons are provided.
关键词：KeywordsHammerstein modelPrediction Error MethodSeparable Least SquaresNonlinear System IdentificationInstrumental Variable Method