Low Torque Ripple Control of Switched Reluctance Motors Using Iterative Learning

@article{Sahoo2001LowTR,
  title={Low Torque Ripple Control of Switched Reluctance Motors Using Iterative Learning},
  author={N. C. Sahoo and J. X. Xu and S. K. Panda},
  journal={IEEE Power Engineering Review},
  year={2001},
  volume={21},
  pages={66-66}
}
Torque control of the switched reluctance motor is complicated by its highly nonlinear torque-current-position characteristics. The purpose of this paper is the development of simple and efficient control algorithms for the constant torque control of switched reluctance motors. The approach consists of two distinct steps, i.e., determination of appropriate phase current waveforms for some specified torque and the subsequent generation of suitable phase voltage profiles for faithful tracking of… CONTINUE READING
Highly Cited
This paper has 55 citations. REVIEW CITATIONS
38 Citations
0 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 38 extracted citations

55 Citations

0510'05'08'11'14'17
Citations per Year
Semantic Scholar estimates that this publication has 55 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…