Fast offset-free nonlinear model predictive control based on moving horizon estimation / Rui Huang in Industrial & engineering chemistry research, Vol. 49 N° 17 (Septembre 1, 2010)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 49 N° 17 (Septembre 1, 2010) . - pp 7882–7890 Titre : Fast offset-free nonlinear model predictive control based on moving horizon estimation Type de document : texte imprimé Auteurs : Rui Huang, Auteur ; Lorenz T. Biegler, Auteur ; Sachin C. Patwardhan, Auteur Année de publication : 2010 Article en page(s) : pp 7882–7890 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Predictive control Nonlinear model. Résumé : To deal with plant−model mismatches in control practice, this paper proposes two variations of an offset-free framework which integrates nonlinear model predictive control (NMPC) and moving horizon estimation (MHE). We prove that the proposed method achieves offset-free regulatory behavior, even in the presence of plant−model mismatches. If the plant uncertainty structure is known, the MHE can be tuned to estimate uncertainty parameters, to remove the plant−model mismatch online. In addition, we incorporate the advanced step NMPC (as-NMPC) and the advanced step MHE (as-MHE) strategies into the proposed method to reduce online computational delay. Finally, the proposed method is applied on a large scale air separation unit, and the steady state offset-free behavior is observed. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901945y [article] Fast offset-free nonlinear model predictive control based on moving horizon estimation [texte imprimé] / Rui Huang, Auteur ; Lorenz T. Biegler, Auteur ; Sachin C. Patwardhan, Auteur . - 2010 . - pp 7882–7890. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 17 (Septembre 1, 2010) . - pp 7882–7890 Mots-clés : Predictive control Nonlinear model. Résumé : To deal with plant−model mismatches in control practice, this paper proposes two variations of an offset-free framework which integrates nonlinear model predictive control (NMPC) and moving horizon estimation (MHE). We prove that the proposed method achieves offset-free regulatory behavior, even in the presence of plant−model mismatches. If the plant uncertainty structure is known, the MHE can be tuned to estimate uncertainty parameters, to remove the plant−model mismatch online. In addition, we incorporate the advanced step NMPC (as-NMPC) and the advanced step MHE (as-MHE) strategies into the proposed method to reduce online computational delay. Finally, the proposed method is applied on a large scale air separation unit, and the steady state offset-free behavior is observed. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901945y

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