D. Selișteanu, E. Petre, M. Roman, D. Popescu, E. Bobaşu
{"title":"On-line estimation of unknown kinetics for the enzymatic synthesis of ampicillin","authors":"D. Selișteanu, E. Petre, M. Roman, D. Popescu, E. Bobaşu","doi":"10.1109/CARPATHIANCC.2011.5945874","DOIUrl":null,"url":null,"abstract":"This paper deals with the on-line estimation of unknown kinetics for the enzymatic synthesis of ampicillin, that is carried out inside a fed-batch bioreactor. A nonlinear dynamical model of this bioprocess is obtained by using the reaction scheme and the mass balance. The dynamical kinetics is strongly nonlinear and not exactly known; therefore an online estimation strategy is developed, based on high gain approach. The tuning of the proposed high gain observers is reduced to the calibration of a single parameter. Numerical simulations are included in order to test the behavior and the performances of the proposed estimation strategy.","PeriodicalId":368762,"journal":{"name":"2011 12th International Carpathian Control Conference (ICCC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 12th International Carpathian Control Conference (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CARPATHIANCC.2011.5945874","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
This paper deals with the on-line estimation of unknown kinetics for the enzymatic synthesis of ampicillin, that is carried out inside a fed-batch bioreactor. A nonlinear dynamical model of this bioprocess is obtained by using the reaction scheme and the mass balance. The dynamical kinetics is strongly nonlinear and not exactly known; therefore an online estimation strategy is developed, based on high gain approach. The tuning of the proposed high gain observers is reduced to the calibration of a single parameter. Numerical simulations are included in order to test the behavior and the performances of the proposed estimation strategy.