Authors:
Dan Niu
1
;
Xisong Chen
1
;
Jun Yang
1
;
Fuchun Jiang
2
and
Xingpeng Zhou
1
Affiliations:
1
Ministry of Education and Southeast University, China
;
2
Suzhou Running-water Company, China
Keyword(s):
Ozone Dosage, Composite Control, Model Predictive Control, Disturbance Observer.
Related
Ontology
Subjects/Areas/Topics:
Control and Supervision Systems
;
Engineering Applications
;
Industrial Automation and Robotics
;
Industrial Engineering
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
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 ozona
tion process.
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