High robustness of an SR motor angle estimation algorithm usingfuzzy predictive filters and heuristic knowledge-based rules
Cheok, A.D.
Ertugrul, N.
Dept. of Electr. Eng., Nat. Univ. of Singapore ;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Oct 1999
Volume: 46,
Issue: 5
On page(s): 904-916
ISSN: 0278-0046
References Cited: 22
CODEN: ITIED6
INSPEC Accession Number: 6383632
Digital Object Identifier: 10.1109/41.793338
Current Version Published: 2002-08-06
Abstract
In 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 nonGaussian 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
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