Non-linear Closed-Loop Identification of CSTR in the presence of a Non-stationary Disturbances. Issue 28 (2015)

• Record Type: Journal Article
• Authors: Aljamaan, Ibrahim; Westwick, David; Foley, Michael
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 28(2015)
• Page Start: 1029
• Page End: 1034
• Publication Date: 2015
• Subjects: Hammerstein model -- Prediction Error Method -- Separable Least Squares -- Nonlinear System Identification -- Instrumental Variable Method; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.12.266
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In 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.