Dynamic modelling and simulation of semi-autogenous mills

Salazar, JL; Magne L.; Acuna, G.; Cubillos, F


This paper presents a dynamic simulator of the semi-autogenous grinding operation deduced from first principles coupled to an on-line parameter estimation scheme able to simulate industrial operations for control purposes. Model equations are based on conventional non-stationary population balance approach to develop the necessary dynamic model of the semi-autogenous mill operation. The model is able to predict the time-evolution of key operating variables such as product flow rate, level charge, power-draw and load position, as function of other important variables such as mill rotational speed and fresh feed characteristics. The set of ordinary differential equations was solved using MATLAB/SIMULINK as a graphic programming platform, a very helpful tool for understanding the grinding phenomenon. Using an on-line parameter estimator, the simulator was tested and validated at an 1800 t/h copper-ore mill showing the effectiveness of the system to track the dynamic behaviour of the variables. It is now being used for the study of advanced control schemes. © 2008 Elsevier Ltd. All rights reserved.

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Título según WOS: Dynamic modelling and simulation of semi-autogenous mills
Título según SCOPUS: Dynamic modelling and simulation of semi-autogenous mills
Título de la Revista: MINERALS ENGINEERING
Volumen: 22
Número: 1
Fecha de publicación: 2009
Página de inicio: 70
Página final: 77
Idioma: English
URL: http://linkinghub.elsevier.com/retrieve/pii/S0892687508001064