Grinding operation optimization of the CODELCO-Andina concentrator plant

Duarte, Manuel A.; Sepúlveda, Florencio; Redard, J.P.; Espinoza, Pablo; Lazcano, Vanel; Castillo, Alejandro; Zorbas, Alejandro; Giménez, Patricio; Castelli, L.

doi:10.1016/s0892-6875(98)00101-0

Cited by 10 publications

(2 citation statements)

References 8 publications

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“…Ball milling process can be modeled by two kinds of methods: 1)establishing the mill model using grinding process input-output information [1][2]; 2)establishing a semimechanism model based on Population Balance Equations [3][4][5][6], where first-order particle breakage is considered with divided particle size intervals.…”

Section: Introductionmentioning

confidence: 99%

“…Duarte et al [2] present an application of sub-optimal control scheme in CODELCOAndina copper concentrator plant, in which a linear multivariable input-output model is established to describe the process. Austin [3] and King [4] establish a particle dynamic involvement model based on Population Balance Equations, where the breakage process is assumed to be first-order, and the dynamic process consists of two parameters-breakage function and selection function.…”

Section: Introductionmentioning

confidence: 99%

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Iterative learning based particle size distribution control in grinding process using output PDF method

Sun

Ding

Wang

et al. 2013

2013 10th IEEE International Conference on Control and Automation (ICCA)

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This paper presents an Iterative Learning Control (ILC) algorithm to improve the control performance of ball milling process batch by batch, where the output PDF method is adopted in each batch. Firstly, the ball milling process is modeled based on Population Balance Equations with firstorder breakage functions. Secondly, output PDF method is adopted within each batch to make the particle size distribution follow a target one as close as possible. An ILC algorithm is developed to tune the parameters of basis functions based on Gradient Descent Method. Finally, simulation results are presented where control performance is improved.

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