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2012 (Vol. 4, Issue: 15)
Article Information:

A Fast Predictive of Sludge Age in Five Step SBRs Using FLC Model

Saad Abualhail, Alaa A. Jassim, Rusul Naseer and Lu Xi-wu
Corresponding Author:  Lu Xi-wu 

Key words:  Activated sludge and SBR, fuzzy model, MCRT, , , ,
Vol. 4 , (15): 2569-2576
Submitted Accepted Published
April 03, 2012 April 17, 2012 August 01, 2012
Abstract:

Removal efficiency of COD, NH4-N and PO4-P and NO3-N in five step SBR processes is widely influenced by mean cell residence time of Five step sequencing batch reactor whereas the sludge age is influence directly on removal efficiency of this system therefore the operator of this system cannot control on this system without experience or a control model. The major objective of this study is develop a control model (Fuzzy Logic Control Model) based on fuzzy logic rule to predict the maximum removal efficiency of COD, NH4-N, PO4-P and NO3-N and minimize mean cell residence time of SBR process where the controlled variables was the sludge age in the five step system and the output variables was the COD, NH4-N, PO4-P and NO3-N removal efficiency (or release rate when negative value) at constant ratio of C/N/P and hydraulic retention time. In order to improve the network performance, fuzzy subtractive clustering was used to identify model architecture, extract and optimize fuzzy rule of the model. As a results the study shows that Adaptive Neural Fuzzy model provide a suitable tool for control and fast predict of mean cell residence time (sludge age) effects on biological nutrient removal efficiency in five-step sequencing batch reactor.
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  Cite this Reference:
Saad Abualhail, Alaa A. Jassim, Rusul Naseer and Lu Xi-wu, 2012. A Fast Predictive of Sludge Age in Five Step SBRs Using FLC Model.  Research Journal of Applied Sciences, Engineering and Technology, 4(15): 2569-2576.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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