Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/62281
DC FieldValue
dc.titleHigh robustness of an SR motor angle estimation algorithm using fuzzy predictive filters and heuristic knowledge-based rules
dc.contributor.authorCheok, A.D.
dc.contributor.authorErtugrul, N.
dc.date.accessioned2014-06-17T06:49:22Z
dc.date.available2014-06-17T06:49:22Z
dc.date.issued1999
dc.identifier.citationCheok, A.D., Ertugrul, N. (1999). High robustness of an SR motor angle estimation algorithm using fuzzy predictive filters and heuristic knowledge-based rules. IEEE Transactions on Industrial Electronics 46 (5) : 904-916. ScholarBank@NUS Repository.
dc.identifier.issn02780046
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/62281
dc.description.abstractIn this paper, the operation of a fuzzy predictive filter used to provide high robustness against feedback signal noise in a fuzzy logic (FL)-based angle estimation algorithm for the switched reluctance motor is described. The fuzzy predictive filtering method combines both FL-based time-series prediction, as well as a heuristic knowledge-based algorithm to detect and discard feedback signal error. As it is predictive in nature, the scheme does not introduce any delay or phase shift in the feedback signals. In addition, the fuzzy predictive filter does not require any mathematical modeling of the noise and, therefore, can be used effectively to control non-Gaussian impulsive-type noise. An analysis of the noise and error commonly found in practical motor drives is given, and how this can effect position estimation. It is shown using experimental results that the FL-based scheme can cope well with erroneous and noisy feedback signals.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/41.793338
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleIEEE Transactions on Industrial Electronics
dc.description.volume46
dc.description.issue5
dc.description.page904-916
dc.description.codenITIED
dc.identifier.isiut000082944200005
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

10
checked on Feb 28, 2018

WEB OF SCIENCETM
Citations

11
checked on Oct 5, 2021

Page view(s)

90
checked on May 12, 2022

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.