2000
DOI: 10.1109/20.875260
|View full text |Cite
|
Sign up to set email alerts
|

Identification method analyses for the scalar generalized moving Preisach model using major hysteresis loops

Abstract: A parametric identification strategy for the generalized moving Preisach model is presented. As it requires only the major hysteresis loop (to determine the distribution parameters) and the remanent major hysteresis loop (to determine the moving parameter), it is less sensitive to the presence of the usual experimental errors than other identification methods. The Preisach distribution function is considered to be in general a bivariate function. The method is verified on various commercial magnetic media.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2000
2000
2016
2016

Publication Types

Select...
4
1

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 20 publications
0
3
0
Order By: Relevance
“…The identification method was derived from that presented in [11], [12] by replacing the curve used in the evaluation of the moving parameter with the IGDM curve. The IGDM curve is sensitive to both the moving field and the standard deviation of the interaction field distribution but also provides the means to distinguish between them.…”
Section: Preisach Model Comparison With Experimental Datamentioning
confidence: 99%
“…The identification method was derived from that presented in [11], [12] by replacing the curve used in the evaluation of the moving parameter with the IGDM curve. The IGDM curve is sensitive to both the moving field and the standard deviation of the interaction field distribution but also provides the means to distinguish between them.…”
Section: Preisach Model Comparison With Experimental Datamentioning
confidence: 99%
“…2͒. 6,[18][19][20] The switching field distributions S c ͑H c ͒ are identified within an acceptable degree of accuracy 10,16,21 by numerical ͑nonparametric͒ representations of the FORC diagram profile in the plane H i = 0. 6 The most recent work on FORC diagrams relates their topology either to the CPM ͑Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Takahashi [11] proposed a modeling method based on the memory used to store the obtained experimental FOD curves; however, for control modeling, this method requires too much memory. Andrei [12] presented a Preisach modeling method using only the major hysteresis loop, yet this method needs a lot of iterative computing time and the mathematical model is complex. Naide [13] and Hui [14] also presented a Preisach modeling method using only the major hysteresis loop.…”
Section: Introductionmentioning
confidence: 99%