Abstract
Dynamic experiments were performed in a continuous open-circuit 40×40-cm ball mill using a pseudorandom binary sequence of the feed rate and measuring the variations of the discharge particle-size distribution. The impulse response is calculated by a cross-correlation technique. Then a model involving a discrete transfer function and a time-series stochastic equation is calibrated using maximum likelihood methods. Based on this empirical model, a minimum variance controller with constrained input is designed and its performances are compared, by simulation, to the performances of a conventional PID regulator.
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SME preprint 87–110, SME Annual Meeting, Denver, CO, February 1987. M&MP paper 87–646. Discussion of this paper must be submitted, in duplicate, prior to Jan. 31, 1989.
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Hodouin, D., Bazin, C. Empirical approach to the modeling and control of ball mill grinding. Mining, Metallurgy & Exploration 5, 192–201 (1988). https://doi.org/10.1007/BF03402509
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DOI: https://doi.org/10.1007/BF03402509