NDLI: Supervisory Control for Co-inject Hot Metal Desulfuration Processes

Content Provider	IEEE Xplore Digital Library
Author	Zhengjun Yu Tianyou Chai
Copyright Year	2006
Description	Author affiliation: Res. Center of Autom., Northeastern Univ., Shenyang (Zhengjun Yu; Tianyou Chai)
Abstract	Mg-CaO co-inject desulphurization process is a kind of new technics in which the reagent is directly injected into the hot metal which contains excess sulfur for the purpose of desulphurization by combining melt magnesium reagent with sulfur in the hot metal into MgS which will become the scruff floated on the top of the hot metal, and, finally, the final content of sulfur in the hot metal meets the production restriction. Since the performance of Mg reagent is changeful, and the content of sulfur in the hot metal can not be obtained in the reagent injection process at real time, the result of desulphurization process is quite uncertain. Therefore, based on conventional loop control, this paper present a novel desulphurization process intelligent supervisory control technique by means of the simulation to domain expert's method to deal with the internal relation between the process data from different tanks, in which the self-adapting setup control mechanism combining a self-learning setup model and a feedback setup compensating model is build for restraining the influence of reagent performance change. The technique has been successfully applied in a plant desulphurization station control system design, and the controlled process has achieved optimization
Starting Page	7797
Ending Page	7801
File Size	252076
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1713487
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Supervisory control Automation Intelligent control Control systems Magnesium Production Feedback loop Process control Design optimization Feedback Setup Compensation Intelligent Supervisory Control Co-inject Desulphurization Self-adapting Setup
Content Type	Text
Resource Type	Article

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