Inferential Active Disturbance Rejection Control of a Distillation Column using Dynamic Principal Component Regression Models

Fahad Al Kalbani, Jie Zhang

2015

Abstract

This paper presents a multivariable inferential active disturbance rejection control (ADRC) method for product composition control in distillation columns. The proposed control strategy integrates ADRC with inferential feedback control. In order to overcome long time delay of gas chromatography in measuring product compositions, static and dynamic estimators for product compositions have been developed. The top and bottom product compositions are estimated using multiple tray temperatures. In order to overcome the colinearity issue in tray temperatures, principal component regression is used to build the estimator. The proposed technique is applied to a simulated methanol-water separation column. It is shown that the proposed control strategy gives good setpoint tracking and disturbance rejection control performance.

Paper Citation

in Harvard Style

Al Kalbani F. and Zhang J. (2015). Inferential Active Disturbance Rejection Control of a Distillation Column using Dynamic Principal Component Regression Models . In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-122-9, pages 358-364. DOI: 10.5220/0005516703580364

in Bibtex Style

@conference{icinco15,
author={Fahad Al Kalbani and Jie Zhang},
title={Inferential Active Disturbance Rejection Control of a Distillation Column using Dynamic Principal Component Regression Models},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2015},
pages={358-364},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005516703580364},
isbn={978-989-758-122-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Inferential Active Disturbance Rejection Control of a Distillation Column using Dynamic Principal Component Regression Models
SN - 978-989-758-122-9
AU - Al Kalbani F.
AU - Zhang J.
PY - 2015
SP - 358
EP - 364
DO - 10.5220/0005516703580364