模糊逻辑与非线性估计相结合的污水处理厂控制

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}
引用次数: 1

摘要

本文介绍了模糊控制和非线性估计在污水处理厂控制中的应用。这种生物过程是高度非线性的,由于不可测量的变量和输入干扰,其控制是一项具有挑战性的任务。模糊控制可以有效地减小不可测扰动的影响,但所使用的结构需要测量所有的状态变量。为了估计未测信号,提出了一种非线性估计器。最终的控制结构由非线性估计器和模糊控制组成。通过仿真验证了该方法的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信