IDENTIFICATION AND PREDICTIVE CONTROL OF A NONLINEAR PROCESS USING A PARAMETRIC VOLTERRA MODEL

Abstract

International Journal of Computational Engineering ScienceVol. 02, No. 04, pp. 633-651 (2001) No AccessIDENTIFICATION AND PREDICTIVE CONTROL OF A NONLINEAR PROCESS USING A PARAMETRIC VOLTERRA MODELFAOUZI M'SAHLI, RIDHA BEN ABDENNOUR, and MEKKI KSOURIFAOUZI M'SAHLIInstitut Supérieur des Etudes Technologiques de Ksar-Hellal, Avenue Hadj-Ali Soua, 5070, Ksar-Hellal, TunisiaFax: 216 73 47 51 63. Search for more papers by this author , RIDHA BEN ABDENNOUREcole Nationale d'Ingénieurs de Gabes, université de Sfax, Route de Medenine, 6029, Gabes, Tunisia Search for more papers by this author , and MEKKI KSOURIEcole Nationale d'Ingénieurs de Tunis, B.P. 37, Le Bevedere, 1002, Tunis, Tunisia Search for more papers by this author https://doi.org/10.1142/S1465876301000490Cited by:3 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail AbstractThis paper presents the identification and the control of a semi-batch reactor. The process is described by a parametric Volterra model. The control strategy uses a nonlinear model based predictive control law. A practical procedure for the simultaneous estimation of the states and the unknown process parameters is developed. The proposed control action is obtained by solving a fourth order non-linear programming problem on-line subject to contraints on the input and output signals. The control strategy is obtained augmenting the non-adaptive controller with an indirect Weighted Recursive Prediction Error Method, which accounts for unknown and/or slowly time-varying parameter and immeasurable states. The developed control strategy has been evaluated experimentally. The obtained results have been reported and discussed.Keywords:Parametric Volterra modelIdentificationPredictive ControlReactor FiguresReferencesRelatedDetailsCited By 3Bennasr Hichem and M’Sahli Faouzi 2022Multimodel Representation of Complex Nonlinear Systems: A Multifaceted Approach for Real-Time ApplicationBennasr Hichem and M’Sahli Faouzi16 Oct 2018 | Mathematical Problems in Engineering, Vol. 2018A semi-batch reactor modeling based on PWARX systemsKamel ABDERRAHIM and Zeineb LASSOUED1 Jan 2014 | IFAC Proceedings Volumes, Vol. 47, No. 3 Recommended Vol. 02, No. 04 Metrics History KeywordsParametric Volterra modelIdentificationPredictive ControlReactorPDF download