Soft Sensing of Sodium Aluminate Solution Component Concentrations via On-line Clustering and Fuzzy Modeling

Wei WANG*, Tianyou CHAI, Lijie ZHAO, S. Joe QIN

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Referred Conference Paperpeer-review

2 Citations (Scopus)

Abstract

The component concentrations measurement of sodium aluminate solution are critical to the process of alumina production, they affect the product quality. However, they can not be measured online at present, thus the control and optimal operation is hardly to be achieved. This paper presents an on-line fuzzy modeling method to predict the component concentrations. It includes an on-line clustering approach which can be applied in a general class of fuzzy TKS models. Stable learning algorithms for the premise and the consequence parts of fuzzy rules are also given. A measuring device is developed to achieve the proposed method and industry experiments are conducted in the alumina production process, the predicted results show the effectiveness of the proposed method. © 2011 AACC American Automatic Control Council.
Original languageEnglish
Title of host publicationProceedings of the 2011 American Control Conference
PublisherInstitute of Electrical and Electronics Engineers
Pages2468-2473
Number of pages6
ISBN (Electronic)9781457700811
ISBN (Print)9781457700804
DOIs
Publication statusPublished - Jun 2011
Externally publishedYes
Event2011 American Control Conference, ACC 2011 - San Francisco, United States
Duration: 29 Jun 20111 Jul 2011

Publication series

NameProceedings of the American Control Conference
PublisherInstitute of Electrical and Electronics Engineers
ISSN (Print)0743-1619
ISSN (Electronic)2378-5861

Conference

Conference2011 American Control Conference, ACC 2011
Country/TerritoryUnited States
CitySan Francisco
Period29/06/111/07/11

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