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Authors: Fahad Al Kalbani and Jie Zhang

Affiliation: Newcastle University, United Kingdom

ISBN: 978-989-758-122-9

Keyword(s): Distillation Column, Composition Control, Inferential Control, Active Disturbance Rejection Control, Principal Component Regression, Estimator.

Related Ontology Subjects/Areas/Topics: Engineering Applications ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Quality Control and Management ; Real-Time Systems Control ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; System Modeling

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.

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Paper citation in several formats:
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

@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},
}

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

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