{"title":"Fuzzy logic control of dynamic anaerobic/aerobic activated sludge system","authors":"W. Chang, W. Chiang, C. Ouyang, W. Hsu, C. W. Hou","doi":"10.1109/AFSS.1996.583638","DOIUrl":null,"url":null,"abstract":"An anaerobic/aerobic activated sludge system under dynamic loading is difficult to automatically control due to its ill-defined non-linear, and complex behavior. This study demonstrates the merits of a real-time fuzzy logic controller for such control purposes by comparing it with a conventional proportional (F/M)/sub an/ controller. Using the conventional system alongside our proposed system continuous-flow pilot plant experiments with automatic monitoring and control facilities were carried out. Five effluent parameters (dissolved COD, dissolved P, total SS, total COD, and total P) were utilized to evaluate their dynamic system performance. Experimental results indicate that, compared to conventional (F/M)an control. Fuzzy logic control significantly improve the effluent concentration.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AFSS.1996.583638","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An anaerobic/aerobic activated sludge system under dynamic loading is difficult to automatically control due to its ill-defined non-linear, and complex behavior. This study demonstrates the merits of a real-time fuzzy logic controller for such control purposes by comparing it with a conventional proportional (F/M)/sub an/ controller. Using the conventional system alongside our proposed system continuous-flow pilot plant experiments with automatic monitoring and control facilities were carried out. Five effluent parameters (dissolved COD, dissolved P, total SS, total COD, and total P) were utilized to evaluate their dynamic system performance. Experimental results indicate that, compared to conventional (F/M)an control. Fuzzy logic control significantly improve the effluent concentration.