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Cited 14 time in webofscience Cited 22 time in scopus
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Soft sensor and adaptive model-based dissolved oxygen control for biological wastewater treatment processes SCIE SCOPUS

Title
Soft sensor and adaptive model-based dissolved oxygen control for biological wastewater treatment processes
Authors
Yoo, CKLee, IB
Date Issued
2004-05
Publisher
MARY ANN LIEBERT INC PUBL
Abstract
In wastewater treatment processes (WWTP), the respiration rate (R) and oxygen transfer rate (K(L)a) are two of the most important variables for monitoring biological activity and assessing process control performance. Knowledge of the two variables is therefore of interest in both process diagnosis and process control. In consideration of the combined mechanism of dissolved oxygen (DO) control and R/K(L)a estimation, we used a generalized damped least squares (GDLS) method as a soft sensor of the two key variables under closed loop control. The estimated values of the two key variables were then used to derive an adaptive model-based DO control law using the soft sensing ability of the GDLS. Simulation results show that the GDLS algorithm gives excellent estimations of the respiration rate under closed loop control, and that model-based DO control can efficiently deal with changes in the operating condition.
URI
https://oasis.postech.ac.kr/handle/2014.oak/10161
DOI
10.1089/109287504323066978
ISSN
1092-8758
Article Type
Article
Citation
ENVIRONMENTAL ENGINEERING SCIENCE, vol. 21, no. 3, page. 331 - 340, 2004-05
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이인범LEE, IN BEUM
Dept. of Chemical Enginrg
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