System Identification of Industrial Debutanizer Column

Fatima, S.A. and Zabiri, H. and Ammar Taqvi, S.A. and Ramli, N. (2019) System Identification of Industrial Debutanizer Column. [["eprint_typename_conference\_item" not defined]]

Full text not available from this repository.

Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....


Development of a suitable model is the most challenging problem for the distillation columns due to their nonlinear and complex behavior. First Order Plus Time Delay (FOPTD) models using transfer functions and Nonlinear Autoregressive with Exogenous Input (NLARX) models described by sigmoid function were used in this study to identify the dynamics of the industrial debutanizer column. The results demonstrated that linear models were not able to approximate the behavior of system whereas the NLARX models performed well in capturing the nonlinear dynamics of debutanizer column. The prediction capability of the developed NLARX model was found to be 91.26 and 86.56 for top and bottom composition respectively. © 2019 IEEE.

Item Type:["eprint_typename_conference\_item" not defined]
Impact Factor:cited By 3
Uncontrolled Keywords:Distillation columns, Debutanizer columns; First order plus time delay; Non-linear autoregressive with exogenous; Prediction capability; Sigmoid function, Delay control systems
ID Code:23588
Deposited By: Ms Sharifah Fahimah Saiyed Yeop
Deposited On:19 Aug 2021 07:55
Last Modified:19 Aug 2021 07:55

Repository Staff Only: item control page