Abstract
Conventional control schemes in use today are not able to produce satisfactory control when high-frequency disturbances are present in the flotation feed. An advanced model-based control scheme is presented here as a promising solution to this control problem. The main feature of this control scheme is the real time identification of the unknown disturbances in the first few cells of the flotation circuit. This information is used to control the rest of the flotation plant in a feedforward fashion. This control scheme also provides flexibility to meet any metallurgical, economical, or management objective.
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References
Bascur, O.A., 1982, “Modeling and Computer Control of a Flotation Cell,” PhD Dissertation, University of Utah, Salt Lake City.
Bascur, O.A., and Herbst, J.A., 1982, “Dynamic Modeling of Flotation: With a View Toward Automatic Control”, Preprints, 14th International Mineral Processing Congress, Toronto, Canada.
Bascur, O.A., and Herbst, J.A., 1984, “On Development of a Model-Based Control Strategy for Copper-Ore Flotation,” Proceedings, Workshop of Flotation of Sulphide Minerals, Stockholm, Sweden, June.
Brown, R.G., 1983, Random Signal Analysis and Kalman Filtering, John Wiley and Sons, New York.
Derjaguin, B.V., and Dukhin, S.S., 1961, “Theory of Flotation of Small and Medium Size Particles”, Bulletin, Institution of Mining and Metallurgy. Vol. 70, p. 221.
Hales, L.B., and Pate, W.T., 1985, “Supervisory and Optimal Control Strategies for Mineral Processing Plants,” 24th Annual Conference of Metallurgists, Canadian Institute of Mining & Metallurgy, Vancouver.
Hartland, S., and Barber A.D., 1974, “A Model for the Cellular Foam,” Transactions, The Institute of Chemical Engineers, Vol. 52, pp. 43–62.
Herbst, J.A., and Bascur, O.A., 1983, “Evaluation of Control Alternatives for Coal Flotation,” SME Preprint 83–145, SME-AIME Annual Meeting, Atlanta, GA, March.
Herbst, J.A., Rajamani, K., and Pate, W.T., 1980, “Identification of Ore Hardness Disturbances in a Grinding Circuit Using a Kalman Filter,” Proceedings,3rd IFAC Symposium on Automation in Mining, Mineral and Processing, J. O’Shea and M. Polis, eds., Pergamon Press, Oxford, England, pp. 333–347.
Jaswinski, A.H., 1970, Stochastic Process and Filter Theory, Academic Press. New York.
Kalman, R.E., 1960, “A New Approach to Linear Filtering and Prediction Problems,” Journal of Basic Engineering, ASME, pp. 35–45, March.
Klasen, V.I., and Tikhonov, S.A., 1964, “On the Mechanical Separation of Slime Particles During Flotation”, Tsvetnye Metally, Vol. 5, No. 9, pp. 4–8.
Maybeck, P.S., 1979, Stochastic Models, Estimation and Control, Vol. 1, Academic Press, New York.
McKee, D.J., et al., 1976, “Computer Control of Chalcopyrite Flotation at Mount Isa Mines Limited,” Froth Flotation, M.C. Fuerstenau ed., AIME, New York, pp. 999–1026.
Mika, T.S, and Fuerstenau, D.W., 1968, “A Microscopic Model of the Flotation Process,” 8th International Mineral Processing Congress, Vol. 2, Mechanobr, Leningrad, USSR.
Paakineen, J.E., and Cooper, H.R., 1979, “Flotation Process Control,” Computer Methods of the 80’s, A. Weiss, ed., AIME, New York.
Rajamani, K., 1979, “Optimal Control of Closed-Circuit Ball Mill Grinding,” PhD Dissertation, University of Utah, Salt Lake City, UT.
Wells, C.H., 1971, “Application of Modern Estimation and Identification Techniques to Chemical Process,” Journal, American Institute of Chemical Engineers, Vol 17, pp. 966–973.
Zaragoza, R., 1987, “Modeling and Computer Control of Flotation,” PhD Dissertation, University of Utah, Salt Lake City.
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SME preprint 87–156, SME Annual Meeting, Denver, CO, February 1987. M&MP paper 87–645. Discussion of this paper must be submitted, in duplicate, prior to Jan. 31, 1989.
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Zaragoza, R., Herbst, J.A. Model-based feedforward control scheme for flotation plants. Mining, Metallurgy & Exploration 5, 177–185 (1988). https://doi.org/10.1007/BF03402507
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DOI: https://doi.org/10.1007/BF03402507