MPC for Ozone Dosage in Water Treatment Process based on Disturbance Observer

Dan Niu, Xisong Chen, Jun Yang, Fuchun Jiang, Xingpeng Zhou

Abstract

In the drinking water treatment, determining optimal ozone doses is vital for the treated water quality. An effective control scheme is to control the dissolved ozone residual constant. However, it is not easy to be achieved since some external disturbances always exist, such as large changes in water flow rate and raw water quality. Moreover, the ozonation is a nonlinear process with long time delay and large time constant. The conventional control strategies such as PID and traditional MPC reject disturbances merely through feedback regulation, which will cause performance degradation in the presence of strong disturbances. In this paper, a composite control scheme integrating MPC method as feedback controller and disturbance observer (DOB) as feed-forward compensation is proposed to improve disturbance rejection of ozone dosage control system. The test results demonstrate that the proposed method possesses a better disturbance rejection performance than the MPC method in the ozonation process.

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Paper Citation


in Harvard Style

Niu D., Chen X., Yang J., Jiang F. and Zhou X. (2017). MPC for Ozone Dosage in Water Treatment Process based on Disturbance Observer . In Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-264-6, pages 556-561. DOI: 10.5220/0006410305560561


in Bibtex Style

@conference{icinco17,
author={Dan Niu and Xisong Chen and Jun Yang and Fuchun Jiang and Xingpeng Zhou},
title={MPC for Ozone Dosage in Water Treatment Process based on Disturbance Observer},
booktitle={Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2017},
pages={556-561},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006410305560561},
isbn={978-989-758-264-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - MPC for Ozone Dosage in Water Treatment Process based on Disturbance Observer
SN - 978-989-758-264-6
AU - Niu D.
AU - Chen X.
AU - Yang J.
AU - Jiang F.
AU - Zhou X.
PY - 2017
SP - 556
EP - 561
DO - 10.5220/0006410305560561