A Theoretical Study Of Stator Flux Linkage DC Offset Based Stator Fault Detection For PMSM Drive Systems
Upadhyay, Akanksha LU and Alakula, Mats LU
(2022)
2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022
- Abstract
The main focus of this paper is to establish diagnostics of stator faults of the stator windings of a Permanent Magnet Synchronous Machine (PMSM) drive system. To accomplish this objective, a new diagnostic method is proposed. In the proposed method, stator fault detection is based on the dc offset of the Stator Flux Linkage (SFL) in the antisynchronous reference frame (ASRF). The DC offset of the SFL is calculated by estimating the SFL in the stator reference frame, transforming it to an ASRF and low pass filtering it. The diagnostic parameter namely stator flux linkage DC offset (SFDO) is robust against speed changes, operating conditions and type of stator connection (star or delta). Additionally, it is able to diagnose both stator... (More)
The main focus of this paper is to establish diagnostics of stator faults of the stator windings of a Permanent Magnet Synchronous Machine (PMSM) drive system. To accomplish this objective, a new diagnostic method is proposed. In the proposed method, stator fault detection is based on the dc offset of the Stator Flux Linkage (SFL) in the antisynchronous reference frame (ASRF). The DC offset of the SFL is calculated by estimating the SFL in the stator reference frame, transforming it to an ASRF and low pass filtering it. The diagnostic parameter namely stator flux linkage DC offset (SFDO) is robust against speed changes, operating conditions and type of stator connection (star or delta). Additionally, it is able to diagnose both stator fault existence, its location and related phase. With the proposed method, a stator fault monitoring system is realised. The proposed diagnostic model is simulated and tested to study PMSM fault behavior under different operating conditions. The validity of the proposed approach is verified with results from the simulation model of the PMSM.
(Less)
- author
- Upadhyay, Akanksha
LU
and Alakula, Mats
LU
- organization
- publishing date
- 2022
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- DC offset, EV, fault detection, flux observer, ITF, PMSM, stator faults
- host publication
- 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022
- conference location
- Merced, United States
- conference dates
- 2022-11-01 - 2022-11-04
- external identifiers
-
- scopus:85146668585
- ISBN
- 9781665475877
- DOI
- 10.1109/VPPC55846.2022.10003329
- language
- English
- LU publication?
- yes
- id
- 3f368d39-0e2a-4e4b-ae4b-957c9abb5ffa
- date added to LUP
- 2023-02-15 15:07:47
- date last changed
- 2023-11-07 02:49:52
@inproceedings{3f368d39-0e2a-4e4b-ae4b-957c9abb5ffa,
abstract = {{<p>The main focus of this paper is to establish diagnostics of stator faults of the stator windings of a Permanent Magnet Synchronous Machine (PMSM) drive system. To accomplish this objective, a new diagnostic method is proposed. In the proposed method, stator fault detection is based on the dc offset of the Stator Flux Linkage (SFL) in the antisynchronous reference frame (ASRF). The DC offset of the SFL is calculated by estimating the SFL in the stator reference frame, transforming it to an ASRF and low pass filtering it. The diagnostic parameter namely stator flux linkage DC offset (SFDO) is robust against speed changes, operating conditions and type of stator connection (star or delta). Additionally, it is able to diagnose both stator fault existence, its location and related phase. With the proposed method, a stator fault monitoring system is realised. The proposed diagnostic model is simulated and tested to study PMSM fault behavior under different operating conditions. The validity of the proposed approach is verified with results from the simulation model of the PMSM.</p>}},
author = {{Upadhyay, Akanksha and Alakula, Mats}},
booktitle = {{2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings}},
isbn = {{9781665475877}},
keywords = {{DC offset; EV; fault detection; flux observer; ITF; PMSM; stator faults}},
language = {{eng}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{A Theoretical Study Of Stator Flux Linkage DC Offset Based Stator Fault Detection For PMSM Drive Systems}},
url = {{http://dx.doi.org/10.1109/VPPC55846.2022.10003329}},
doi = {{10.1109/VPPC55846.2022.10003329}},
year = {{2022}},
}