논문실적
| Application of Neuro-fuzzy Feedback Controller for Effective Post-Chlorination in Water Treatment Plant |
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학술지명 CESE
저자 이안규,이호현,홍성택,박노석
발표일 2012-10-09
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Present chlorine controller system has neglected travel time for the monitoring of chlorine amount in water treatment plant. In this study, an adaptive neuro-fuzzy inference system was used to predict the travel time and chlorine changes at the clear well in typical water treatment plant. ANFIS (Artificial Neuro-Fuzzy Inference System) combined with feedback controller system was applied to optimize the chlorine dosing rate and to minimize the chance of errors. Travel time and dosing rate were automatically calculated and injected using the proposed model and controller. Standard deviation of output chlorine rate was 3.6 and 7 times less than those of old controller system in real application and in simulation respectively. It was found that neuro-fuzzy feedback controller made a significant contribution to supply hygienically safe drinking water by considering various conditions including the travel time than the existing methods. |
