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    국내학술지 제목 게시판 내용
    제목(국문) EKF를 이용한 BLDC 모터 구동기 인버터의 고장 검출 및 분리
    제목(영문) Fault Detection and Isolation for the Inverter of BLDC Motor Drive using EKF
    저자 김선기 (Sunki Kim ,한국기술교육대학교 메카트로닉공학부 ) ▷공저자네트워크등록하기
    성상만 (Sang Man Seong ,한국기술교육대학교 메카트로닉스공학부, ssman@kut.ac.kr ) ▷공저자네트워크등록하기
    강기호 (Ki-Ho, Kang ,한국기술교육대학교 메카트로닉스공학부 ) ▷공저자네트워크등록하기
    초록
    초록(영문)

    The inverters used to drive Brushless DC motors (BLDC) include switching devices such as FETs and the faults in FETs cause severe performance degradation in systems where a BLDC acts as actuator. This paper presents a fault detection and isolation method for the FETs of an inverter for BLDC motor control systems, which is based on the EKF (Extended Kalman filter). Firstly, an equivalent circuit model for a BLDC motor plus its inverter system was derived. Secondly, a state-space equation was established, where the on-resistance of the FETs is expressed as a state variable and the EKF equation estimates the on-resistance. If the estimated resistance differs greatly from the known value, it can be asserted that there is a fault on that FET. Thirdly, the local convergence of the established EKF was proved. Finally, through the experiments, the performmice of the proposed method was verified. The results show that the on-resistance is estimated close to the value specified in the FET data sheet in normal operation, whereas the estimated resistoice is a much larger value than the normal one in case an FET fault occurs. Therefore, it is confirmed that the proposed fault detection and isolation method works appropriately in real systems.

    keyword BLDC motor,EKF, fault detection, fault isolation, on-resistance
    저널명 제어로봇시스템학회논문지 ▷관련저널보기
    VOL 20
    PAGE 706-712
    발표년도 2014
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