Design and Analysis of Intelligent Fuzzy Tension Controllers for Rolling Mills

dc.contributor.authorLiu, Jingrongen
dc.date.accessioned2006-08-22T13:48:49Z
dc.date.available2006-08-22T13:48:49Z
dc.date.issued2002en
dc.date.submitted2002en
dc.description.abstractThis thesis presents a fuzzy logic controller aimed at maintaining constant tension between two adjacent stands in tandem rolling mills. The fuzzy tension controller monitors tension variation by resorting to electric current comparison of different operation modes and sets the reference for speed controller of the upstream stand. Based on modeling the rolling stand as a single input single output linear discrete system, which works in the normal mode and is subject to internal and external noise, the element settings and parameter selections in the design of the fuzzy controller are discussed. To improve the performance of the fuzzy controller, a dynamic fuzzy controller is proposed. By switching the fuzzy controller elements in relation to the step response, both transient and stationary performances are enhanced. To endow the fuzzy controller with intelligence of generalization, flexibility and adaptivity, self-learning techniques are introduced to obtain fuzzy controller parameters. With the inclusion of supervision and concern for conventional control criteria, the parameters of the fuzzy inference system are tuned by a backward propagation algorithm or their optimal values are located by means of a genetic algorithm. In simulations, the neuro-fuzzy tension controller exhibits the real-time applicability, while the genetic fuzzy tension controller reveals an outstanding global optimization ability.en
dc.formatapplication/pdfen
dc.format.extent1713957 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10012/848
dc.language.isoenen
dc.pendingfalseen
dc.publisherUniversity of Waterlooen
dc.rightsCopyright: 2002, Liu, Jingrong. All rights reserved.en
dc.subjectElectrical & Computer Engineeringen
dc.subjectfuzzy controlleren
dc.subjectneural networken
dc.subjectgenetic algorithmen
dc.titleDesign and Analysis of Intelligent Fuzzy Tension Controllers for Rolling Millsen
dc.typeMaster Thesisen
uws-etd.degreeMaster of Applied Scienceen
uws-etd.degree.departmentElectrical and Computer Engineeringen
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

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