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Détail de l'auteur
Auteur Luis A. Ricardez-Sandoval
Documents disponibles écrits par cet auteur
Affiner la rechercheApplication of robust control tools to the simultaneous design and control of dynamic systems / Luis A. Ricardez-Sandoval in Industrial & engineering chemistry research, Vol. 48 N°2 (Janvier 2009)
[article]
in Industrial & engineering chemistry research > Vol. 48 N°2 (Janvier 2009) . - p. 801–813
Titre : Application of robust control tools to the simultaneous design and control of dynamic systems Type de document : texte imprimé Auteurs : Luis A. Ricardez-Sandoval, Auteur ; Hector M. Budman, Auteur Année de publication : 2009 Article en page(s) : p. 801–813 Note générale : chemical engineering Langues : Anglais (eng) Mots-clés : Dynamic--Control Résumé : This paper presents a new approach to integrate process design and control. Robust stability and performance measures based on Lyapunov theory and structured singular value analysis (SSV) are used to estimate bounds on process worst-case variability, process feasibility, and process stability. In this approach, the simultaneous design and control problem is posed as a nonlinear constrained optimization problem. The proposed methodology is illustrated using the design of a mixing tank process. The resulting design was compared to the design using a dynamic optimization approach. The expected computational burden required by this method for the design of large-scale processes is also estimated. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800378y [article] Application of robust control tools to the simultaneous design and control of dynamic systems [texte imprimé] / Luis A. Ricardez-Sandoval, Auteur ; Hector M. Budman, Auteur . - 2009 . - p. 801–813.
chemical engineering
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 48 N°2 (Janvier 2009) . - p. 801–813
Mots-clés : Dynamic--Control Résumé : This paper presents a new approach to integrate process design and control. Robust stability and performance measures based on Lyapunov theory and structured singular value analysis (SSV) are used to estimate bounds on process worst-case variability, process feasibility, and process stability. In this approach, the simultaneous design and control problem is posed as a nonlinear constrained optimization problem. The proposed methodology is illustrated using the design of a mixing tank process. The resulting design was compared to the design using a dynamic optimization approach. The expected computational burden required by this method for the design of large-scale processes is also estimated. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800378y Simultaneous design and control / Luis A. Ricardez-Sandoval in Industrial & engineering chemistry research, Vol. 49 N° 6 (Mars 2010)
[article]
in Industrial & engineering chemistry research > Vol. 49 N° 6 (Mars 2010) . - pp. 2822–2833
Titre : Simultaneous design and control : a new approach and comparisons with existing methodologies Type de document : texte imprimé Auteurs : Luis A. Ricardez-Sandoval, Auteur ; Hector M. Budman, Auteur ; Peter L. Douglas, Auteur Année de publication : 2010 Article en page(s) : pp. 2822–2833 Note générale : Industrial Chemistry Langues : Anglais (eng) Mots-clés : Simultaneous; Design; New Approach; Comparisons; Existing; Methodologies Résumé : In this work, a new methodology to conduct simultaneous design and control of large-scale systems is presented. The proposed method uses a structured singular value norm calculation (μ) to estimate the worst-case disturbance profile. This profile is then used to simulate the closed-loop nonlinear dynamic process model for obtaining the worst-case output variability and to test the process feasibility constraints. Thus, the proposed method referred to as the hybrid worst-case approach (HWA) methodology combines the analytical μ calculation of the worst-case disturbance and dynamic simulations using the mechanistic closed-loop process model to calculate variability. To test the proposed HWA method the integration of design and control of the reactor section of the Tennessee Eastman process was analyzed. This case study was also used to compare the proposed HWA method to other previously reported methodologies. Although the results obtained by the present HWA method for the case study are slightly conservative, the computational demand required by the present method is found to be 1 order of magnitude smaller than that required by a dynamic optimization-based methodology. Note de contenu : Bibiogr. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9010707 [article] Simultaneous design and control : a new approach and comparisons with existing methodologies [texte imprimé] / Luis A. Ricardez-Sandoval, Auteur ; Hector M. Budman, Auteur ; Peter L. Douglas, Auteur . - 2010 . - pp. 2822–2833.
Industrial Chemistry
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 49 N° 6 (Mars 2010) . - pp. 2822–2833
Mots-clés : Simultaneous; Design; New Approach; Comparisons; Existing; Methodologies Résumé : In this work, a new methodology to conduct simultaneous design and control of large-scale systems is presented. The proposed method uses a structured singular value norm calculation (μ) to estimate the worst-case disturbance profile. This profile is then used to simulate the closed-loop nonlinear dynamic process model for obtaining the worst-case output variability and to test the process feasibility constraints. Thus, the proposed method referred to as the hybrid worst-case approach (HWA) methodology combines the analytical μ calculation of the worst-case disturbance and dynamic simulations using the mechanistic closed-loop process model to calculate variability. To test the proposed HWA method the integration of design and control of the reactor section of the Tennessee Eastman process was analyzed. This case study was also used to compare the proposed HWA method to other previously reported methodologies. Although the results obtained by the present HWA method for the case study are slightly conservative, the computational demand required by the present method is found to be 1 order of magnitude smaller than that required by a dynamic optimization-based methodology. Note de contenu : Bibiogr. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9010707