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

@article{Flieller2014ASS,
  title={A Self-Learning Solution for Torque Ripple Reduction for Nonsinusoidal Permanent-Magnet Motor Drives Based on Artificial Neural Networks},
  author={Damien Flieller and Ngac Ky Nguyen and Patrice Wira and Guy Sturtzer and Djaffar Ould Abdeslam and Jean Merckl{\'e}},
  journal={IEEE Transactions on Industrial Electronics},
  year={2014},
  volume={61},
  pages={655-666}
}
This paper presents an original method, based on artificial neural networks, to reduce the torque ripple in a permanent-magnet nonsinusoidal synchronous motor. Solutions for calculating optimal currents are deduced from geometrical considerations and without a calculation step, which is generally based on the Lagrange optimization. These optimal currents are obtained from two hyperplanes. This paper takes into account the presence of harmonics in the back-EMF and the cogging torque. New control… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 57 CITATIONS, ESTIMATED 86% COVERAGE

Analytical optimal currents for multiphase PMSMs under fault conditions and saturation

  • IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society
  • 2014
VIEW 4 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2013
2018

CITATION STATISTICS

  • 1 Highly Influenced Citations

  • Averaged 10 Citations per year over the last 3 years

  • 14% Increase in citations per year in 2018 over 2017

References

Publications referenced by this paper.
SHOWING 1-10 OF 36 REFERENCES

Similar Papers

Loading similar papers…