{"title":"Nonlinear feedback control of a nutrient removal biological plant","authors":"H. El bahja, P. V. Vega Cruz, O. Bakka","doi":"10.1109/MED.2012.6265837","DOIUrl":null,"url":null,"abstract":"The aim of this work is to observe and control a biological nitrogen removal process. The paper illustrates the use of a linearized model in the design, an observer (software sensor) and a nonlinear feedback control technique based on a phenomenological model of the process. This model describes the complete dynamics of autotrophic and heterotrophic biomasses, biodegradable organic and nitrogenous matters. The control approach structure is combined with the estimation algorithm, for the on-line reconstruction of unmeasured biological states of the bioprocess. The efficiency of both the control and estimation are demonstrated via computer simulations.","PeriodicalId":328772,"journal":{"name":"2012 20th Mediterranean Conference on Control & Automation (MED)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 20th Mediterranean Conference on Control & Automation (MED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED.2012.6265837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The aim of this work is to observe and control a biological nitrogen removal process. The paper illustrates the use of a linearized model in the design, an observer (software sensor) and a nonlinear feedback control technique based on a phenomenological model of the process. This model describes the complete dynamics of autotrophic and heterotrophic biomasses, biodegradable organic and nitrogenous matters. The control approach structure is combined with the estimation algorithm, for the on-line reconstruction of unmeasured biological states of the bioprocess. The efficiency of both the control and estimation are demonstrated via computer simulations.