Fault diagnosis using recursive least square algorithm for permanent magnet synchronous motor drives

Citations

SCOPUS

9

초록

This paper proposes a novel diagnosis scheme using parameter estimation of stator resistance, especially, in subject to the open-phase faults of PMSM drives. The stator resistances of PMSM are estimated by recursive least square (RLS) algorithm in real time. The fault diagnosis is achieved by analyzing the estimated stator resistance of each phase according to fault condition. The proposed diagnosis scheme is implemented without any extra devices. Moreover, the estimated parameter information can be used in order to improve the control performance. The feasibility of the proposed fault diagnosis scheme is proved by simulation and experimental results.

키워드

Control performanceEstimated parameterFault conditionsFault diagnosis schemesPermanent magnet synchronous motor drivesPMSM drivesReal timeRecursive Least Square algorithmRecursive least square algorithmsStator resistanceAlgorithmsElectric drivesPermanent magnetsPower electronicsStatorsSynchronous motorsParameter estimation
제목
Fault diagnosis using recursive least square algorithm for permanent magnet synchronous motor drives
저자
Park, Byoung-GunKim, Rae-YoungHyun, Dong-Seok
DOI
10.1109/ICPE.2011.5944729
발행일
2011-07
유형
Conference Paper
저널명
8th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics, ICPE 2011-ECCE Asia
페이지
2506 ~ 2510