A Self-Learning Solution for Torque Ripple Reduction for Non-Sinusoidal Permanent Magnet Motor Drives Based on Artificial Neural Networks

Autor: FLIELLER, Damien, Nguyen, Ngac Ky, WIRA, Patrick, STURTZER, Guy, Ould Abdeslam, Djaffar, Merckle, Jean

Publikováno v: IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics, 2013, pp.12
IEEE Transactions on Industrial Electronics, Institute of Electrical and Electronics Engineers, 2013, pp.12

This paper presents an original method, based on artificial neural networks, to reduce the torque ripple in a permanent-magnet non-sinusoidal synchronous motor. Solutions for calculating optimal currents are deduced from geometrical considerations an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::90dd40635bf404945bc0db9aeb548883
https://hal.science/hal-00794383