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Detection and Classification of Open-phase Faults in PMSM Using Extended Kalman Filter and Multiple Model

확장칼만필터 및 다중모델 기반 영구자석 동기전동기 권선 개방 고장의 검출 및 분류

  • Minwoo Kim (Department of Smart Air Moility, Korea Aerospace University) ;
  • Junhyeong Park (School of Aerospace and Mechanical Engineering, Korea Aerospace University) ;
  • Sangho Ko (Department of Smart Air Moility, Korea Aerospace University)
  • 김민우 (한국항공대학교 스마트항공모빌리티학과) ;
  • 박준형 (한국항공대학교 항공우주 및 기계공학부) ;
  • 고상호 (한국항공대학교 스마트항공모빌리티학과)
  • Received : 2023.11.29
  • Accepted : 2023.12.15
  • Published : 2023.12.31

Abstract

Open-phase fault in a Permanent Magnet Synchronous Motor (PMSM) occurs due to disconnection of phases of motor windings or inverter switch failures. When an open-phase occurs, it leads to the generation of torque ripples and vibrations in the motor, which can have a critical impact on the safety of the vehicle (including aircraft) using a PMSM as an actuator. Therefore, rapid fault detection and classification are essential. This paper proposes a classification method for detecting open-phase faults and locating fault positions in a PMSM used in aircraft applications. The proposed approach uses an Extended Kalman Filter for fault diagnosis, and it subsequently classifies faults using a Multiple Model filter.

영구자석 동기전동기의 권선 개방 고장은 권선이 끊어지거나 인버터 스위치의 고장으로 발생한다. 권선 개방 고장이 발생하면 전동기에 토크리플과 진동이 발생하게 되며, 영구자석 동기전동기를 작동기로 사용하는 항공기 등을 포함하는 운행체의 안전성에 치명적인 영향을 미치게 된다. 따라서 신속한 고장 검출 및 분류가 필수적이다. 본 논문에서는 영구자석 동기전동기의 권선 개방 고장의 검출과 고장 위치 파악을 위한 분류 기법을 제안한다. 제안된 기법은 확장칼만필터를 통해 고장을 검출 후 다중모델 필터를 통해 고장을 분류한다.

Keywords

Acknowledgement

이 연구는 2023년도 산업통상자원부 및 산업기술평가관리원(KEIT) 연구비 지원에 의한 연구임(20015920).

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