NDLI: Optimized set-point model of grinding process based on case-based reasoning method

Content Provider	IEEE Xplore Digital Library
Author	Jiesheng Wang Shifeng Sun
Copyright Year	2012
Description	Author affiliation: School of Electronic and Information Engineering, University of Science & Technology Liaoning, Anshan, China (Jiesheng Wang; Shifeng Sun)
Abstract	The grinding process is a typical complex nonlinear multivariable industrial production system with strongly coupling and large time delays. Based on the technological characteristics and system control requirements, a set-point optimization control strategy based on the case-based reasoning (CBR) method is proposed for obtaining the optimized velocity set-point of ore feed and pump water feed in the controlled loops of the grinding process, whose four key functional modules of CBR (case retrieve, case reuse, case revision and case retain) are described in details. The statistics results of the industrial experiments show that the set-point control strategy based on the CBR method realizes the on-line optimization of the grinding granularity and ore discharge ratio and lays solid foundations for the intelligent control of grinding process.
Starting Page	107
Ending Page	111
File Size	375835
Page Count	5
File Format	PDF
ISBN	9781467309448
e-ISBN	9781467309455
e-ISBN	9781467309431
DOI	10.1109/ICSSE.2012.6257158
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Employee welfare Databases Process control Grinding process Case-based reasoning Educational institutions Set-point model Cognition Feeds Optimization
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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