Abstract
Grinding in ball mills is a crucial technological and industrial process which is used for the reduction of the size of particles with variant physical, chemical and mechanical characteristics. The control performance of the ball mills' grinding process is of outmost importance as this will determine the profit, where the energy consumption, the product quality and time efficiency are commonly concerned. In this paper, nonlinear model predictive control for ball mill grinding process is implemented. Economic performance, time delays and the consumption of energy in the grinding process with the proposed control system are engaged using Discrete Element Method (DEM) software. The results from experimental tests indicate the proposed method to be effective.
Published Version
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