NDLI: A method of hybrid intelligent optimal setting control for flotation process

Content Provider	IEEE Xplore Digital Library
Author	Zengxian Geng Tianyou Chai Heng Yue
Copyright Year	2008
Description	Author affiliation: Key Lab. of Integrated Autom. of Process Ind., Minist. of Educ., Shenyang (Zengxian Geng; Tianyou Chai; Heng Yue)
Abstract	In the flotation process, the concentrate grade and the tailing grade are crucial technical indices which reflect the product quality and efficiency. Such technical indices have close relationship with the reagent feeding, the air flowrate and the pulp level. There are strong nonlinearity and uncertainties in dynamic behavior, which can hardly be described using any accurate mathematical model. The technical indices which can not be measured online continuously vary with the variation of the slurry density, the slurry flowrate, the particle size and the ore grade, etc. Therefore conventional control methods are incapable of keeping the actual indices values within the target ranges. In this paper, a hybrid intelligent optimal setting method comprised of a pre-setting model based CBR and a feedback compensator model based RBR is proposed innovatively. The hybrid intelligent optimal setting control system updates adaptively the setpoints of control loops of the flotation reagent feeding, the air flowrate and flotation level as long as the boundary condition change so as to control the concentrate grade and the tailing grade within their respective target ranges. This method has been successfully applied to a flotation process in China, and significant application effect has been achieved. The successful application in a flotation process indicates that the proposed method has an extensive prospect in the application domain of the optimal control for the technical indices of the complex industrial process.
Starting Page	4713
Ending Page	4718
File Size	386712
Page Count	6
File Format	PDF
ISBN	9781424421138
DOI	10.1109/WCICA.2008.4594532
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Process control Slurries Cognition Feeds Atmospheric modeling Boundary conditions Mathematical model intelligent Optimal Setting flotation technical indices CBR (case based reasoning) RBR (rule based reasoning)
Content Type	Text
Resource Type	Article

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