Lookup NU author(s): Dr Jie Zhang
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by Institute of Electrical and Electronics Engineers Inc., 2018.
For re-use rights please refer to the publisher's terms and conditions.
© 2017 IEEE. This paper presents a multivariable inferential active disturbance rejection control strategy for product composition control in a heat integrated distillation column (HIDiC) to overcome the large measurement delay associated with composition measurement. The inferential estimator uses multiple tray temperature measurements to estimate the product compositions. Dynamic principal component regression is used to overcome the strong co-linearity among tray temperatures and incorporate dynamics to build the inferential estimator model. The effectiveness of the proposed method is demonstrated on a simulated HIDiC based on mechanistic model.
Author(s): Al-Kalbani F, Zhang J
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 9th IEEE-GCC Conference and Exhibition, GCCCE 2017
Year of Conference: 2018
Online publication date: 30/08/2018
Acceptance date: 08/05/2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Library holdings: Search Newcastle University Library for this item