Membrane Bioreactor control and Fouling Monitoring using Artificial Neural Network-Based Approach
نویسندگان
چکیده
With the advent of rigorous membrane research and development in middle 20th century, more wastewater plants started incorporating Membrane BioReactors (MBR) their design. However, being a system, MBR is subject to fouling which may lead maintenance cleaning costs. In this paper, monitoring prediction tool has been designed MATLAB\Simulink. The model takes states related fouling, calculates total resistance based on deterministic stochastic models. capable predicting future transmembrane pressure (TMP) cycles older TMP performance via an artificial neural network algorithm. data have synthetically generated from validated mathematical model. Finally, controller implemented control temperature Mixed Liquor Suspended Solids (MLSS) around desired setpoints. able minimize disturbances both narrow band
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ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2022
ISSN: ['2405-8963', '2405-8971']
DOI: https://doi.org/10.1016/j.ifacol.2022.11.011