Monitoring Method of Permanent Magnet Synchronous Motor Temperature Variation Signal Based on Model Prediction
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50549-2_13
Reference20 articles.
1. Pasqualotto, D., Zigliotto, M.: A comprehensive approach to convolutional neural networks-based condition monitoring of permanent magnet synchronous motor drives. IET Electr. Power Appl. 15(7), 947–962 (2021)
2. Tsai, M.F., Tseng, C.S., Li, N.S., et al.: Implementation of a DSP-based speed-sensorless adaptive control for permanent-magnet synchronous motor drives with uncertain parameters using linear matrix inequality approach. IET Electr. Power Appl. 16(7), 789–804 (2022)
3. Sahebjam, M., Sharifian, M.B.B., Feyzi, M.R., et al.: Novel methodology for direct speed control of a permanent magnet synchronous motor with sensorless operation. IET Electr. Power Appl. 15(6), 728–741 (2021)
4. Parvathy, M.L., Eshwar, K., Thippiripati, V.K.: A modified duty-modulated predictive current control for permanent magnet synchronous motor drive. IET Electr. Power Appl. 15(1), 25–38 (2021)
5. Taherzadeh, M., Hamida, M.A., Ghanes, M., et al.: Torque estimation of permanent magnet synchronous machine using improved voltage model flux estimator. IET Electr. Power Appl. 15(6), 742–753 (2021)
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