Show simple item record

dc.contributor.authorHosseinzadeh, N.
dc.contributor.authorSeyoum, D.
dc.contributor.authorWolfs, Peter
dc.contributor.editorUnknown
dc.date.accessioned2017-01-30T13:28:01Z
dc.date.available2017-01-30T13:28:01Z
dc.date.created2010-05-02T20:05:12Z
dc.date.issued2006
dc.identifier.citationHosseinzadeh, N. and Seyoum, D. and Wolfs, P. 2006. Fuzzy Logic Control of an Induction Machine as a Brake, in 1st International ICSC Symposium Artificial Intelligence in Energy Systems and Power (AIESP 06), pp. 31-36. Maderia, Portugal: ICSC Interdisciplinary Research.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/31901
dc.description.abstract

Fuzzy logic systems (FLS) have been designed to control a self-excited induction generator (SEIG), which is used as a brake. This electrical brake has been designed for the sugar cane industry in Queensland, Australia, which uses brake vans coupled to the end of cane trains to produce a given braking torque. The brake would be suitable for similar applications of electrical brakes in electrically driven machines such as electrical vehicles. This project was established to investigate electrical braking as an alternative to existing mechanical systems. Three fuzzy logic controllers have been designed to control the output retarding torque produced by an induction machine. One of these controllers adjusts the value of a shunt capacitance to maintain the excitation required for the generating operation. The other two adjust the duty cycle of a PWM converter, which drives the load of the induction machine. The duty cycle is adjusted in such a way to keep the retarding torque, produced by the machine, fixed at a given value.

dc.publisherICSC Interdisciplinary Research
dc.subjectFuzzy Logic Applications
dc.subjectIntelligent Control
dc.subjectElectrical Machines and Drives
dc.subjectInduction Generators
dc.titleFuzzy Logic Control of an Induction Machine as a Brake
dc.typeConference Paper
dcterms.source.startPage31
dcterms.source.endPage36
dcterms.source.titleArtificial Intelligence in Energy Systems and Power. International ICSC Symposium. 1st 2006. (AIESP 06)
dcterms.source.seriesArtificial Intelligence in Energy Systems and Power. International ICSC Symposium. 1st 2006. (AIESP 06)
dcterms.source.isbn9783906454368
dcterms.source.conferenceArtificial Intelligence in Energy Systems and Power. International ICSC Symposium. 1st 2006. (AIESP 06) (Abstract book and CD-ROM)
dcterms.source.conference-start-dateFeb 7 2006
dcterms.source.conferencelocationMaderia, Portugal
dcterms.source.placeUSA
curtin.accessStatusFulltext not available
curtin.facultyDepartment of Electrical and Computer Engineering
curtin.facultySchool of Engineering
curtin.facultyFaculty of Science and Engineering


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record