E. Sánchez, S. Čelikovský, J. González, E. Ramirez
{"title":"模糊逻辑与非线性估计相结合的污水处理厂控制","authors":"E. Sánchez, S. Čelikovský, J. González, E. Ramirez","doi":"10.1109/ISIC.2001.971514","DOIUrl":null,"url":null,"abstract":"The paper presents the application of fuzzy control and nonlinear estimation to wastewater treatment plants. This biological process is highly nonlinear and its control is a challenging task due to unmeasured variables and input disturbances. Fuzzy control is quite efficient to reduce the effect of unmeasured disturbances, but the used structure requires the measurement of all the state variables. In order to estimate the unmeasured ones, a nonlinear estimator is proposed. The final control structure is composed by the nonlinear estimator and the fuzzy control. The applicability of the proposed approach is validated via simulations.","PeriodicalId":367430,"journal":{"name":"Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Wastewater treatment plant control by combining fuzzy logic and nonlinear estimation\",\"authors\":\"E. Sánchez, S. Čelikovský, J. González, E. Ramirez\",\"doi\":\"10.1109/ISIC.2001.971514\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents the application of fuzzy control and nonlinear estimation to wastewater treatment plants. This biological process is highly nonlinear and its control is a challenging task due to unmeasured variables and input disturbances. Fuzzy control is quite efficient to reduce the effect of unmeasured disturbances, but the used structure requires the measurement of all the state variables. In order to estimate the unmeasured ones, a nonlinear estimator is proposed. The final control structure is composed by the nonlinear estimator and the fuzzy control. The applicability of the proposed approach is validated via simulations.\",\"PeriodicalId\":367430,\"journal\":{\"name\":\"Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206)\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.2001.971514\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.2001.971514","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wastewater treatment plant control by combining fuzzy logic and nonlinear estimation
The paper presents the application of fuzzy control and nonlinear estimation to wastewater treatment plants. This biological process is highly nonlinear and its control is a challenging task due to unmeasured variables and input disturbances. Fuzzy control is quite efficient to reduce the effect of unmeasured disturbances, but the used structure requires the measurement of all the state variables. In order to estimate the unmeasured ones, a nonlinear estimator is proposed. The final control structure is composed by the nonlinear estimator and the fuzzy control. The applicability of the proposed approach is validated via simulations.
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