2006
DOI: 10.1016/j.watres.2006.01.011
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Control of SBR switching by fuzzy pattern recognition

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Cited by 51 publications
(34 citation statements)
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“…Further research should be carried out to study the mechanisms triggering NO 2 -N accumulation in the SBR system. Studies on automatic control of conventional SBR systems using DO, pH and ORP probes have been carried out to enhance N and P removal and to reduce operational costs (Tilche et al 1999;Casellas et al 2006;Lee et al 2001;Lee and Oleszkiewicz 2003;Marsili-Libelli 2006). In the present study, the application of DO, pH and ORP real-time data to control the operation of intermittently aerated SBRs was studied.…”
Section: Effects Of the Aeration Rate On The Overall Performance Of Imentioning
confidence: 99%
“…Further research should be carried out to study the mechanisms triggering NO 2 -N accumulation in the SBR system. Studies on automatic control of conventional SBR systems using DO, pH and ORP probes have been carried out to enhance N and P removal and to reduce operational costs (Tilche et al 1999;Casellas et al 2006;Lee et al 2001;Lee and Oleszkiewicz 2003;Marsili-Libelli 2006). In the present study, the application of DO, pH and ORP real-time data to control the operation of intermittently aerated SBRs was studied.…”
Section: Effects Of the Aeration Rate On The Overall Performance Of Imentioning
confidence: 99%
“…Application of OUR as a parameter to control the operation of the SBR system Studies on automatic control of conventional SBR systems using DO, pH and ORP probes have been carried out to enhance N and P removal and to reduce operational costs [16][17][18][19][20]. DO data are always used to identify the end point of nitrification and the early identification of the end point of nitrification can save the operation cost of aeration.…”
Section: Discussionmentioning
confidence: 99%
“…DO data are always used to identify the end point of nitrification and the early identification of the end point of nitrification can save the operation cost of aeration. Marsili-Libelli [19] proposed that when the curve of DO concentrations with respect to time levels off, i.e., dDO dt ¼ 0; nitrification ends. However, Li et al [10] found that the ammonium breakpoints where nitrification ends were not easily found on the profile of DO curves (at the breakpoints, DO curve did not level off); however, they found that, at the ammonium breakpoints,…”
Section: Discussionmentioning
confidence: 99%
“…Due to highly nonlinear nature and time variations associated with the SBR process, along with fluctuations in hydraulics and components and possible equipment unreliability, a single control strategy based on multiple indirect parameters may not be successful, rather a strategy based on multivariate statistical process control analysis may be developed through further research [76,77]. Intelligent control strategy (ICS) such as fuzzy logic [78], expert system [79], and also artificial neural network (ANN) based model [80] has been used to effectively optimize the SBR processes. Intelligent control being the advanced form of real-time control strategy, it is going to be the future of SBR real-time control.…”
Section: Process Control Strategiesmentioning
confidence: 99%