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Vold–Kalman Filtering Order Tracking Based Rotor Demagnetization Detection in PMSM
- Source :
- IEEE Transactions on Industry Applications. 55:5768-5778
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- Rotor magnet condition is important to maintain a stable permanent magnet synchronous motor (PMSM) operation. In this paper, Vold–Kalman filtering order tracking (VKF-OT) and dynamic Bayesian network (DBN) are employed for the real-time rotor demagnetization detection from the torque ripple. First, a torque ripple model of the PMSM considering electromagnetic noise is proposed, and the torque variation is studied to determine the effect of the demagnetization on the torque ripple, which indicates that it is feasible to detect the magnet demagnetization by analyzing the torque ripple. Then the torque is processed by wavelet transform to eliminate the electromagnetic disturbances. Second, the VKF-OT is introduced to track the order of the torque ripple of the PMSM to extract the torque ripple characteristics as the feature reflecting changes in magnet status. Third, the feature is employed to train the DBN for the rotor magnet demagnetization detection and prediction during motor operation. The proposed approach is a noninvasive and an online method that can be embedded in the physical motor controller. The validation results demonstrate that this method can detect the uniform demagnetization over a wide motor speed range.
- Subjects :
- 010302 applied physics
Rotor (electric)
Computer science
020208 electrical & electronic engineering
02 engineering and technology
Kalman filter
01 natural sciences
Industrial and Manufacturing Engineering
law.invention
Motor controller
Control and Systems Engineering
law
Control theory
Magnet
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Torque
Torque ripple
Electrical and Electronic Engineering
Synchronous motor
Order tracking
Subjects
Details
- ISSN :
- 19399367 and 00939994
- Volume :
- 55
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Industry Applications
- Accession number :
- edsair.doi...........c88b8285ff69faa2719eeb7686d1d4d5