Computation of rotational hysteresis losses by vector Preisach models based on rotational operators. Issue 3 (1st February 2022)
- Record Type:
- Journal Article
- Title:
- Computation of rotational hysteresis losses by vector Preisach models based on rotational operators. Issue 3 (1st February 2022)
- Main Title:
- Computation of rotational hysteresis losses by vector Preisach models based on rotational operators
- Authors:
- Nierla, Michael
Kaltenbacher, Manfred
Rupitsch, Stefan Johann - Abstract:
- Abstract : Purpose: A major purpose of vector hysteresis models lies in the prediction of power losses under rotating magnetic fields. The well-known vector Preisach model by Mayergoyz has been shown to well predict such power losses at low amplitudes of the applied field. However, in its original form, it fails to predict the reduction of rotational power losses at high fields. In recent years, two variants of a novel vector Preisach model based on rotational operators have been published and investigated with respect to general accuracy and performance. This paper aims to examine the capabilities of the named vector Preisach models in terms of rotational hysteresis loss calculations. Design/methodology/approach: In a first step, both variants of the novel rotational operator-based vector Preisach model are tested with respect to their overall capability to prescribe rotational hysteresis losses. Hereby, the direct influence of the model-specific parameters onto the computable losses is investigated. Afterward, it is researched whether there exists an optimized set of parameters for these models that allows the matching of measured rotational hysteresis losses. Findings: The theoretical investigations on the influence of the model-specific parameters onto the computable rotational hysteresis losses showed that such losses can be predicted in general and that a variation of these parameters allows to adapt the simulated loss curves in both shape and amplitude. Furthermore,Abstract : Purpose: A major purpose of vector hysteresis models lies in the prediction of power losses under rotating magnetic fields. The well-known vector Preisach model by Mayergoyz has been shown to well predict such power losses at low amplitudes of the applied field. However, in its original form, it fails to predict the reduction of rotational power losses at high fields. In recent years, two variants of a novel vector Preisach model based on rotational operators have been published and investigated with respect to general accuracy and performance. This paper aims to examine the capabilities of the named vector Preisach models in terms of rotational hysteresis loss calculations. Design/methodology/approach: In a first step, both variants of the novel rotational operator-based vector Preisach model are tested with respect to their overall capability to prescribe rotational hysteresis losses. Hereby, the direct influence of the model-specific parameters onto the computable losses is investigated. Afterward, it is researched whether there exists an optimized set of parameters for these models that allows the matching of measured rotational hysteresis losses. Findings: The theoretical investigations on the influence of the model-specific parameters onto the computable rotational hysteresis losses showed that such losses can be predicted in general and that a variation of these parameters allows to adapt the simulated loss curves in both shape and amplitude. Furthermore, an optimized parameter set for the prediction of the named losses could be retrieved by direct matching of simulated and measured loss curves. Originality/value: Even though the practical applicability and the efficiency of the novel vector Preisach model based on rotational operators has been proven in previous publications, its capabilities to predict rotational hysteresis losses has not been researched so far. This publication does not only show the general possibility to compute such losses with help of the named vector Preisach models but also in addition provides a routine to derive an optimized parameter set, which allows an accurate modeling of actually measured loss curves. … (more)
- Is Part Of:
- Compel. Volume 41:Issue 3(2022)
- Journal:
- Compel
- Issue:
- Volume 41:Issue 3(2022)
- Issue Display:
- Volume 41, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 41
- Issue:
- 3
- Issue Sort Value:
- 2022-0041-0003-0000
- Page Start:
- 981
- Page End:
- 995
- Publication Date:
- 2022-02-01
- Subjects:
- Hysteresis modeling -- Vector Preisach model -- Rotational hysteresis losses -- Computational electromagnetics -- Power losses -- Magnetic hysteresis
Electrical engineering -- Data Processing -- Periodicals
Electrical engineering -- Mathematics -- Periodicals
Electrical engineering -- Periodicals
Electronics -- Data Processing -- Periodicals
Electronics -- Mathematics -- Periodicals
621.3 - Journal URLs:
- http://www.emeraldinsight.com/0332-1649.htm ↗
http://www.emeraldinsight.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1108/COMPEL-02-2021-0061 ↗
- Languages:
- English
- ISSNs:
- 0332-1649
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3363.924000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26859.xml