Comparative Analysis Between Unscented and Extended Kalman Filters for PMSG Inter-Turn Fault Detection*

Waseem Wafik Saad Elsayed, Ahmed Aboelhassan, Amr Amr Ibrahim Madi, Ahmed Hebala, Michael Galea

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper investigates the detection of inter-turn phase faults in Permanent Magnet Synchronous Generators (PMSGs) using the Unscented Kalman Filter (UKF) compared to the Extended Kalman Filter (EKF). PMSGs are subject to several faults such as bearing, eccentricity, demagnetization, short circuit, and inter-turn faults. Accurate and early detection of the fault type is crucial for robust operation. Several techniques can detect these faults. UKF and EKF are presented here as one of the model-based fault diagnosis techniques. In the presented simulation, a comparison between the UKF and EKF estimation response of the fault has been shown. Both techniques have provided the ability to detect the inter-turn fault with the proposed PMSG fault model. However, the difference between the estimation response accuracy and speed plays an important role to decide the most effective technique.
Original languageEnglish
Title of host publication2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)
PublisherIEEE
Pages243-248
Number of pages6
ISBN (Electronic)978-1-7281-7615-4
DOIs
Publication statusPublished - 8 Apr 2021
Event5th IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021 - Virtual Workshop
Duration: 8 Apr 20219 Apr 2021
Conference number: 5

Workshop

Workshop5th IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021
Abbreviated titleWEMDCD 2021
CityVirtual Workshop
Period8/04/219/04/21

Fingerprint

Dive into the research topics of 'Comparative Analysis Between Unscented and Extended Kalman Filters for PMSG Inter-Turn Fault Detection*'. Together they form a unique fingerprint.

Cite this