{"title":"活性污泥过程溶解氧浓度的自适应模糊控制","authors":"C. A. Belchior, R. Araújo, J. Landeck","doi":"10.1109/ETFA.2010.5641311","DOIUrl":null,"url":null,"abstract":"In this paper an adaptive fuzzy control strategy for dissolved oxygen concentration (DO) control of an activated sludge process is proposed and evaluated in a benchmark simulation model. The controller uses DO concentration error feedback and manipulates the flow control valves supplying air to the bioreactor cells. The results of simulation shows that this adaptive controller can optimize control rules resulting in an accurate controls of dissolved oxygen.","PeriodicalId":201440,"journal":{"name":"2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Adaptive fuzzy control of the dissolved oxygen concentration in an activated sludge process\",\"authors\":\"C. A. Belchior, R. Araújo, J. Landeck\",\"doi\":\"10.1109/ETFA.2010.5641311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper an adaptive fuzzy control strategy for dissolved oxygen concentration (DO) control of an activated sludge process is proposed and evaluated in a benchmark simulation model. The controller uses DO concentration error feedback and manipulates the flow control valves supplying air to the bioreactor cells. The results of simulation shows that this adaptive controller can optimize control rules resulting in an accurate controls of dissolved oxygen.\",\"PeriodicalId\":201440,\"journal\":{\"name\":\"2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETFA.2010.5641311\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2010.5641311","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive fuzzy control of the dissolved oxygen concentration in an activated sludge process
In this paper an adaptive fuzzy control strategy for dissolved oxygen concentration (DO) control of an activated sludge process is proposed and evaluated in a benchmark simulation model. The controller uses DO concentration error feedback and manipulates the flow control valves supplying air to the bioreactor cells. The results of simulation shows that this adaptive controller can optimize control rules resulting in an accurate controls of dissolved oxygen.