Optimized dosage control of the ozonation process in drinking water treatment
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 dos...
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2021-05-01
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Series: | Measurement + Control |
Online Access: | https://doi.org/10.1177/00202940211007164 |
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doaj-3b6953a2d654400f92905591dd7bb9942021-09-02T23:03:26ZengSAGE PublishingMeasurement + Control0020-29402021-05-015410.1177/00202940211007164Optimized dosage control of the ozonation process in drinking water treatmentDan Niu0Xiaojun Wang1Xisong Chen2Li Ding3Jun Yang4Fuchun Jiang5School of Automation, Southeast University, Nanjing, ChinaSchool of Automation, Southeast University, Nanjing, ChinaSchool of Automation, Southeast University, Nanjing, ChinaSchool of Automation, Southeast University, Nanjing, ChinaSchool of Automation, Southeast University, Nanjing, ChinaXiangcheng Water Treatment Plant, Suzhou Running-Water Company, Suzhou, ChinaOzonation 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.https://doi.org/10.1177/00202940211007164 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dan Niu Xiaojun Wang Xisong Chen Li Ding Jun Yang Fuchun Jiang |
spellingShingle |
Dan Niu Xiaojun Wang Xisong Chen Li Ding Jun Yang Fuchun Jiang Optimized dosage control of the ozonation process in drinking water treatment Measurement + Control |
author_facet |
Dan Niu Xiaojun Wang Xisong Chen Li Ding Jun Yang Fuchun Jiang |
author_sort |
Dan Niu |
title |
Optimized dosage control of the ozonation process in drinking water treatment |
title_short |
Optimized dosage control of the ozonation process in drinking water treatment |
title_full |
Optimized dosage control of the ozonation process in drinking water treatment |
title_fullStr |
Optimized dosage control of the ozonation process in drinking water treatment |
title_full_unstemmed |
Optimized dosage control of the ozonation process in drinking water treatment |
title_sort |
optimized dosage control of the ozonation process in drinking water treatment |
publisher |
SAGE Publishing |
series |
Measurement + Control |
issn |
0020-2940 |
publishDate |
2021-05-01 |
description |
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. |
url |
https://doi.org/10.1177/00202940211007164 |
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