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Optimized dosage control of the ozonation process in drinking water treatment

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posted on 2022-11-10, 15:49 authored by Dan Niu, Xiaojun Wang, Xisong Chen, Li Ding, Jun YangJun Yang, Fuchun Jiang

Ozonation is an important process in drinking water treatment. Determination of optimal ozonation dose is of significant importance for enhancing the quality of treated water and reducing the energy cost. It is known that keeping the dissolved ozone residual constant is an effective and reliable dosage control scheme. However, some external disturbances, such as large changes in raw water quality and water flow rate, always exist in the ozonation process. Meanwhile, the ozonation is a nonlinear process with large time constant and long time delay. Thus, it has been always a challenge for dosage control to maintain the dissolved ozone residual constant. The traditional control strategies such as PID and MPC merely utilize feedback regulation to suppress disturbances. This will degrade the control performance when strong disturbances occur. In this work, an effective control method integrating MPC method with disturbance observer (DO) is put forward to improve disturbance suppression performance. DO is utilized to estimate the disturbances and uncertainties, and then the estimated values are employed to conduct feed-forward compensation. The test results indicate that significant disturbance suppression improvements can be accomplished under the proposed method in comparison with the conventional MPC method in the ozonation process.

Funding

National Key R&D Program of China (No. 2018YFC1506900)

Zhishan Youth Scholar Program of SEU, the Fundamental Research Funds for the Central Universities under Grant 2242020R40032

Key R&D Program of Jiangsu Province (No. BE2017076, BE2019052)

Key R&D industrialization Program of Suzhou (No. SGC201733, SGC201854)

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Measurement and Control

Volume

54

Issue

5-6

Pages

692 - 700

Publisher

SAGE Publications

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by SAGE Publications under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2021-03-03

Publication date

2021-04-16

Copyright date

2021

ISSN

0020-2940

eISSN

2051-8730

Language

  • en

Depositor

Dr Jun Yang. Deposit date: 10 November 2022

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