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Article: A roll eccentricity sensor for steel-strip rolling mills

TitleA roll eccentricity sensor for steel-strip rolling mills
Authors
Issue Date1990
Citation
Ieee Transactions On Industry Applications, 1990, v. 26 n. 6, p. 1063-1069 How to Cite?
AbstractThe problem of roll eccentricity compensation in steel-strip rolling mills is examined. A novel roll eccentricity sensor is proposed for the task of retrieving the desired reference signal from the available roll-force measurement. The sensor implements a modified comb filter structure which can be arranged in either tunable or adaptive form. Simulation results based on typical experimental data indicate that the proposed sensor is appropriate and offers distinct advantages over other methods. The proposed comb filter is new in the sense that it consists of a number of second-order notch filter models with specially constrained bandwidth characteristics. An approximate gradient-based adaptive algorithm is used for the frequency estimation. The important feature of such an algorithm is that it is robust and is simple to implement. The advantages of the sensor include fast convergence and accurate parameter estimates. No extra positional sensors are required since this information can be easily obtained from the phase estimates. Finally, the sensor is not based on approximate mill models; it treats the problem as a harmonic series buried in noise. The resulting solution is based on time domain measurements that characterize the mill roll eccentricity conditions during operation.
Persistent Identifierhttp://hdl.handle.net/10722/154925
ISSN
2015 Impact Factor: 1.901
2015 SCImago Journal Rankings: 1.388
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChicharo, Joe Fen_US
dc.contributor.authorNg, Tung Sangen_US
dc.date.accessioned2012-08-08T08:31:10Z-
dc.date.available2012-08-08T08:31:10Z-
dc.date.issued1990en_US
dc.identifier.citationIeee Transactions On Industry Applications, 1990, v. 26 n. 6, p. 1063-1069en_US
dc.identifier.issn0093-9994en_US
dc.identifier.urihttp://hdl.handle.net/10722/154925-
dc.description.abstractThe problem of roll eccentricity compensation in steel-strip rolling mills is examined. A novel roll eccentricity sensor is proposed for the task of retrieving the desired reference signal from the available roll-force measurement. The sensor implements a modified comb filter structure which can be arranged in either tunable or adaptive form. Simulation results based on typical experimental data indicate that the proposed sensor is appropriate and offers distinct advantages over other methods. The proposed comb filter is new in the sense that it consists of a number of second-order notch filter models with specially constrained bandwidth characteristics. An approximate gradient-based adaptive algorithm is used for the frequency estimation. The important feature of such an algorithm is that it is robust and is simple to implement. The advantages of the sensor include fast convergence and accurate parameter estimates. No extra positional sensors are required since this information can be easily obtained from the phase estimates. Finally, the sensor is not based on approximate mill models; it treats the problem as a harmonic series buried in noise. The resulting solution is based on time domain measurements that characterize the mill roll eccentricity conditions during operation.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Transactions on Industry Applicationsen_US
dc.titleA roll eccentricity sensor for steel-strip rolling millsen_US
dc.typeArticleen_US
dc.identifier.emailNg, Tung Sang:tsng@eee.hku.hken_US
dc.identifier.authorityNg, Tung Sang=rp00159en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/28.62388en_US
dc.identifier.scopuseid_2-s2.0-0025513298en_US
dc.identifier.volume26en_US
dc.identifier.issue6en_US
dc.identifier.spage1063en_US
dc.identifier.epage1069en_US
dc.identifier.isiWOS:A1990EM07700013-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridChicharo, Joe F=7004185319en_US
dc.identifier.scopusauthoridNg, Tung Sang=7402229975en_US

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