NDLI: Intelligent control for operation of iron ore magnetic separating process

Content Provider	IEEE Xplore Digital Library
Author	Jinxin Liu Jinli Liu Jinliang Ding Tianyou Chai
Copyright Year	2008
Description	Author affiliation: Key Lab. of Integrated Autom. for the Process Ind., Minist. of Educ., Shenyang (Jinxin Liu; Jinli Liu; Jinliang Ding; Tianyou Chai)
Abstract	In the high intensity separating process of hematite ore, the concentrate grade and tailing grade cannot be measured continuously. Itpsilas difficult to use any accurate mathematical models to describe the relationship between these two indices and other technique indices, i.e. the exciting current, the rinsing water flow, the feed density for its strong nonlinearity and uncertainty. Therefore, an intelligent control method for the process operation has been presented which comprises a loop control layer and an optimization setting layer for the rinsing water flow, the exciting current and the feed density. The optimization setting layer consists of a setting model based on CBR and a feedback compensator using Rule-Based Reasoning. In the setting model, the method of mechanism modelling and CBR are combined to compute the set point of exciting current. The proposed control method has been successfully applied to the high intensity magnetic separating process in the China. It can control the actual concentration grade and tailing grade within their targeted ranges, when the ore separability are fluctuating. The method greatly increases concentration grade, and successfully reduces tailing grade.
Starting Page	2798
Ending Page	2803
File Size	280740
Page Count	6
File Format	PDF
ISBN	9781424421138
DOI	10.1109/WCICA.2008.4593369
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	Feeds Computational modeling Magnetic separation Mathematical model Magnetosphere Particle separators Boundary conditions Intelligent control High intensity magnetic separating process (HIMSP) Case-Based Reasoning (CBR) Rule-Based Reasoning (RBR) Mechanism modelling
Content Type	Text
Resource Type	Article

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