Intelligent Control and Optimization of the Coal Slime Flotation

Abstract:

The inchoate algorithm for the coal slime flotation control is the feed-forward control to the feed concentration and the reagent quantity. This control model is widely utilized because of the easy realization once the used sensors are reliable. However the control results are usually not so good as it cannot adapt the quality fluctuation of the feed, obtain the on-line quality of the feed and the products, and also cannot statistically calculate the flotation recovery and other production management information. The appearance of the coal slurry ash detector provides the new method for resolving the problems above. This paper studies how to increase the production rate and decrease the reagent consumption through the optimizing control under the premise of the accepted concentrate ash. The industrial application of the intelligent and optimal control of the coal slime flotation results in a high concentrate recovery and a decrease of the reagent consumption, ensuring a highly efficient operation.

• Periodical: Advanced Materials Research (Volumes 524-527)
• Pages: 1007-1010
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.524-527.1007
• Online since: May 2012
• Authors: Xiao Ping Yang, Yan Ru Chen
• Keywords: Coal Slime Flotation, Coal Slurry Ash Detector, Intelligent Control, Optimizing Control

References

[1] Thornton J.: Cautious adaptive control of an industrial flotation circuit, Minerals Engineering, Vol. 4 (1991), pp.1227-1242.

DOI: 10.1016/0892-6875(91)90169-v

[2] Desbiens A., Hodouin D., Najim K., et al.: Long-range predictive control of a rougher flotation unit, Minerals Engineering, Vol. 7 (1994), pp.21-37.

DOI: 10.1016/0892-6875(94)90144-9

[3] Yang Xiaoping, Xu Deping et al.: Development of Control Technology for Slime Flotation Processing, Coal Science and Technology, Vol. 27 (1999), pp.38-40. (In Chinese)

[4] Yang Xiaoping: Research on the computer control system for Coal slime flotation, Dissertation for Doctor's Degree, China University of Mining and Technology, PRC, 1998. (In Chinese)

[5] Herbst, J.A., Bascur, O.A.: Alternative Control Strategies for Coal slime flotation. Society of Mining Engineers of AIME, Vol. 278 (1985), pp.1-9.

[6] L. Karr and B. Weck: Computer Modeling of Mineral Processing Equipment Using Fuzzy Mathematics, Minerals Engineering, Vol. 9 (1996), pp.183-194.

DOI: 10.1016/0892-6875(96)00003-9