Study of composite fuzzy control of dissolved oxygen in a sequencing batch reactor pilot process of synthetic papermaking wastewater

2012 ◽  
Author(s):  
Wenhao Shen ◽  
Erpan Tao ◽  
Li Ning ◽  
Tianlong Liu
Keyword(s):  
Fuzzy Control ◽  
Dissolved Oxygen ◽  
Sequencing Batch Reactor ◽  
Batch Reactor ◽  
Papermaking Wastewater

scholarly journals Fuzzy control of dissolved oxygen in a sequencing batch reactor pilot plant

2005 ◽  
Vol 111 (1) ◽  
pp. 13-19 ◽  
Author(s):  
A. Traoré ◽  
S. Grieu ◽  
S. Puig ◽  
L. Corominas ◽  
F. Thiery ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Dissolved Oxygen ◽  
Pilot Plant ◽  
Sequencing Batch Reactor ◽  
Batch Reactor

Estimation of oxygen transfer rate in sequencing batch reactor

1996 ◽  
Vol 34 (3-4) ◽  
pp. 413-420
Author(s):  
Y. C. Liao ◽  
D. J. Lee
Keyword(s):  
Dissolved Oxygen ◽  
Oxygen Transfer ◽  
Transfer Rate ◽  
Sequencing Batch Reactor ◽  
Batch Reactor ◽  
Oxygen Transfer Rate ◽  
Intermittent Aeration ◽  
Transient Effects ◽  
Operational Parameters ◽  
Transient Model

Transient model of oxygen transfer rate in a sequencing batch reactor is derived and solved numerically. The dissolved oxygen response under several conditions is analyzed. Effects of operational parameters and liquid bath height are studied. When with short, intermittent aeration periods, the transient effects on oxygen transfer rate may be substantial and should be taken into considerations. An example considering bioreaction is also given.

Use pH and ORP as fuzzy control parameters of denitrification in SBR process

2002 ◽  
Vol 46 (4-5) ◽  
pp. 131-137 ◽  
Author(s):  
Y.Z. Peng ◽  
J.F. Gao ◽  
S.Y. Wang ◽  
M.H. Sui
Keyword(s):  
Fuzzy Control ◽  
Sequencing Batch Reactor ◽  
Fuzzy Controller ◽  
Batch Reactor ◽  
Limiting Factor ◽  
Control Parameters ◽  
Carbon Addition ◽  
Brewery Wastewater ◽  
Aeration Time ◽  
On Line

In order to achieve fuzzy control of denitrification in a Sequencing Batch Reactor (SBR) brewery wastewater was used as the substrate. The effects of brewery wastewater, sodium acetate, methanol and endogenous carbon source on the relationships between pH, ORP and denitrification were investigated. Also different quantities of brewery wastewater were examined. All the results indicated that the nitrate apex and nitrate knee occurred in the pH and ORP profiles at the end of denitrification. And when carbon was the limiting factor, through comparing the different increasing rate of pH whether the carbon was enough or not could be known, and when the carbon should be added again could be decided. On the basis of this, the fuzzy controller for denitrification in SBR was constructed, and the on-line fuzzy control experiments comparing three methods of carbon addition were carried out. The results showed that continuous carbon addition at a low rate might be the best method, it could not only give higher denitrification rate but also reduce the re-aeration time as much as possible. It appears promising to use pH and ORP as fuzzy control parameters to control the denitrification time and the addition of carbon.

Sliding mode control of dissolved oxygen in an integrated nitrogen removal process in a sequencing batch reactor (SBR)

2009 ◽  
Vol 60 (10) ◽  
pp. 2545-2553 ◽  
Author(s):  
C. Muñoz ◽  
H. Young ◽  
C. Antileo ◽  
C. Bornhardt
Keyword(s):  
Dissolved Oxygen ◽  
Nitrogen Removal ◽  
Sequencing Batch Reactor ◽  
Sliding Mode ◽  
Batch Reactor ◽  
Pi Controller ◽  
Computational Point ◽  
Removal Process ◽  
Wide Range ◽  
Auto Tuning

This paper presents a sliding mode controller (SMC) for dissolved oxygen (DO) in an integrated nitrogen removal process carried out in a suspended biomass sequencing batch reactor (SBR). The SMC performance was compared against an auto-tuning PI controller with parameters adjusted at the beginning of the batch cycle. A method for cancelling the slow DO sensor dynamics was implemented by using a first order model of the sensor. Tests in a lab-scale reactor showed that the SMC offers a better disturbance rejection capability than the auto-tuning PI controller, furthermore providing reasonable performance in a wide range of operation. Thus, SMC becomes an effective robust nonlinear tool to the DO control in this process, being also simple from a computational point of view, allowing its implementation in devices such as industrial programmable logic controllers (PLCs).

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