Grinding Process Modelling and Simulation

S.C. Abou and T. Dao (Canada)


: Process control; Mineral process; Nonlinear systems; Adaptive control; Computer simulation.


: This paper discusses the way in which adaptive control may be used to control grinding process. Focus is put on the pertinent applicability of the scope of these techniques, to control the dynamics of mills in mineral processes. The approach uses a small number of parameters based on appropriate choice of the Laguerre filter pole to control the power draw prediction for grinding process affected by sudden changes in parameters. This may be seen as the estimation of adjustable model parameters in order to fit the set of data where the form of the model does not need to be specified explicitly. It provides in principle ability to adapt to changing circumstances in the process due to intermittent disturbances (like for instance changes in hardness of the raw material). An acceptable performance and stability augmentation analysis was developed to improve the axial and radial dynamics of the mill charge with optimal energy consumption. This way, the nominal performance of the process is improved in respect to an important source of perturbations of the circuit; but the robust stability is not guaranteed to fully avoid the mill plugging. Results include simulation that forecasts the power draw of grinding process.

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