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Economic performance assessment of two ROM ore milling circuit controllers / Donghui Wei in Minerals engineering, Vol. 22 N° 9/10 (Août/Septembre 2009) 

Public ISBD [article]  in Minerals engineering > Vol. 22 N° 9/10 (Août/Septembre 2009) . - pp. 826–839 Titre : Economic performance assessment of two ROM ore milling circuit controllers Type de document : texte imprimé Auteurs : Donghui Wei, Auteur ; Ian K. Craig, Auteur Année de publication : 2009 Article en page(s) : pp. 826–839 Note générale : Génie Minier Langues : Anglais (eng) Mots-clés : Mineral  processing  Mineral  economics  Particle  size  Grinding  Flotation  Process  control Résumé : Economic performance assessment of control systems is receiving increasing attention in both academia and industry. A relevant framework is proposed in Bauer and Craig (Bauer, M., Craig, I.K., 2008. Economic assessment of advanced process control – a survey and framework. Journal of Process Control 18 (1), 2–18) based on a comprehensive survey of the methods for economic analysis of advanced process control systems. The framework provides a formal procedure for the economic assessment of control systems. A practically motivated simulation study is used to cast the economic performance assessment of a nonlinear model predictive controller and three single-loop PID controllers for a run-of-mine milling circuit into this framework. Performance functions of the milling circuit, which dynamically relate the circuit process variables to monetary values, are developed based on a survey study on milling circuits and an in-depth literature study. DEWEY : 622 ISSN : 0892-6875 En ligne : http://www.sciencedirect.com/science/article/pii/S0892687509000673 [article] Economic performance assessment of two ROM ore milling circuit controllers [texte imprimé] / Donghui Wei, Auteur ; Ian K. Craig, Auteur . - 2009 . - pp. 826–839. Génie Minier Langues : Anglais (eng) in Minerals engineering > Vol. 22 N° 9/10 (Août/Septembre 2009) . - pp. 826–839 Mots-clés : Mineral  processing  Mineral  economics  Particle  size  Grinding  Flotation  Process  control Résumé : Economic performance assessment of control systems is receiving increasing attention in both academia and industry. A relevant framework is proposed in Bauer and Craig (Bauer, M., Craig, I.K., 2008. Economic assessment of advanced process control – a survey and framework. Journal of Process Control 18 (1), 2–18) based on a comprehensive survey of the methods for economic analysis of advanced process control systems. The framework provides a formal procedure for the economic assessment of control systems. A practically motivated simulation study is used to cast the economic performance assessment of a nonlinear model predictive controller and three single-loop PID controllers for a run-of-mine milling circuit into this framework. Performance functions of the milling circuit, which dynamically relate the circuit process variables to monetary values, are developed based on a survey study on milling circuits and an in-depth literature study. DEWEY : 622 ISSN : 0892-6875 En ligne : http://www.sciencedirect.com/science/article/pii/S0892687509000673

Robust nonlinear model predictive control of a run-of-mine ore milling circuit / Loutjie C. Coetzee in IEEE Transactions on control systems technology, Vol. 18 N° 1 (Janvier 2010) 

Public ISBD [article]  in IEEE Transactions on control systems technology > Vol. 18 N° 1 (Janvier 2010) . - pp. 222-229 Titre : Robust nonlinear model predictive control of a run-of-mine ore milling circuit Type de document : texte imprimé Auteurs : Loutjie C. Coetzee, Auteur ; Ian K. Craig, Auteur ; Eric C. Kerrigan, Auteur Année de publication : 2011 Article en page(s) : pp. 222-229 Note générale : Génie Aérospatial Langues : Anglais (eng) Mots-clés : Grinding  mill  Milling  circuit  Process  control  Robust  nonlinear  model  predictive  control  (RNMPC)  Run-of-mine  (ROM)  ore Index. décimale : 629.1 Résumé : This brief investigates the feasibility of applying a robust nonlinear model predictive controller to a run-of-mine ore milling circuit, and the conditions under which such a controller might be worthwhile implementing. The run-of-mine ore milling circuit model used consists of nonlinear modules for the individual components of the milling circuit, allowing for arbitrary milling circuit configurations to be modeled. The model is cast into a robust nonlinear model predictive control framework, and a practically motivated simulation of the mill model being controlled by an robust nonlinear model predictive control (RNMPC) controller is presented. Issues related to implementing such a controller are investigated. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4806139 [article] Robust nonlinear model predictive control of a run-of-mine ore milling circuit [texte imprimé] / Loutjie C. Coetzee, Auteur ; Ian K. Craig, Auteur ; Eric C. Kerrigan, Auteur . - 2011 . - pp. 222-229. Génie Aérospatial Langues : Anglais (eng) in IEEE Transactions on control systems technology > Vol. 18 N° 1 (Janvier 2010) . - pp. 222-229 Mots-clés : Grinding  mill  Milling  circuit  Process  control  Robust  nonlinear  model  predictive  control  (RNMPC)  Run-of-mine  (ROM)  ore Index. décimale : 629.1 Résumé : This brief investigates the feasibility of applying a robust nonlinear model predictive controller to a run-of-mine ore milling circuit, and the conditions under which such a controller might be worthwhile implementing. The run-of-mine ore milling circuit model used consists of nonlinear modules for the individual components of the milling circuit, allowing for arbitrary milling circuit configurations to be modeled. The model is cast into a robust nonlinear model predictive control framework, and a practically motivated simulation of the mill model being controlled by an robust nonlinear model predictive control (RNMPC) controller is presented. Issues related to implementing such a controller are investigated. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4806139