Advanced search
1 file | 451.25 KB Add to list

Effect of control in electrical drives on image registration supporting motion state estimation

Huayu Li (UGent) and Frederik De Belie (UGent)
Author
Organization
Abstract
In modern electrical drives, more and more smart algorithms are used to support the control. One of those algorithms is image registration, allowing, in a graphical way, to estimate the motion states from an image, registered from multiple samples of the phase currents and its time gradients. By searching for deformations in these images, such methods allow to take into account physical nonlinear phenomena such as magnetic cross-saturation, known to affect the motion state estimation of the rotor. In this paper, the image registration is illustrated on a DTC drive for a salient pole synchronous machine and the effect of control on the distribution of current sample points within the image is studied.
Keywords
salient pole permanent magnet synchronous machine, image registration, points distribution, field weakening, load angle

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • application/x-download
    • |
    • 451.25 KB

Citation

Please use this url to cite or link to this publication:

MLA
Li, Huayu, and Frederik De Belie. “Effect of Control in Electrical Drives on Image Registration Supporting Motion State Estimation.” 2018 21ST INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), IEEE, 2018, pp. 1163–68.
APA
Li, H., & De Belie, F. (2018). Effect of control in electrical drives on image registration supporting motion state estimation. In 2018 21ST INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS) (pp. 1163–1168). Jeju, SOUTH KOREA: IEEE.
Chicago author-date
Li, Huayu, and Frederik De Belie. 2018. “Effect of Control in Electrical Drives on Image Registration Supporting Motion State Estimation.” In 2018 21ST INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 1163–68. IEEE.
Chicago author-date (all authors)
Li, Huayu, and Frederik De Belie. 2018. “Effect of Control in Electrical Drives on Image Registration Supporting Motion State Estimation.” In 2018 21ST INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 1163–1168. IEEE.
Vancouver
1.
Li H, De Belie F. Effect of control in electrical drives on image registration supporting motion state estimation. In: 2018 21ST INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS). IEEE; 2018. p. 1163–8.
IEEE
[1]
H. Li and F. De Belie, “Effect of control in electrical drives on image registration supporting motion state estimation,” in 2018 21ST INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), Jeju, SOUTH KOREA, 2018, pp. 1163–1168.
@inproceedings{8583350,
  abstract     = {In modern electrical drives, more and more smart algorithms are used to support the control. One of those algorithms is image registration, allowing, in a graphical way, to estimate the motion states from an image, registered from multiple samples of the phase currents and its time gradients. By searching for deformations in these images, such methods allow to take into account physical nonlinear phenomena such as magnetic cross-saturation, known to affect the motion state estimation of the rotor. In this paper, the image registration is illustrated on a DTC drive for a salient pole synchronous machine and the effect of control on the distribution of current sample points within the image is studied.},
  author       = {Li, Huayu and De Belie, Frederik},
  booktitle    = {2018 21ST INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS)},
  isbn         = {9788986510201},
  keywords     = {salient pole permanent magnet synchronous machine,image registration,points distribution,field weakening,load angle},
  language     = {eng},
  location     = {Jeju, SOUTH KOREA},
  pages        = {1163--1168},
  publisher    = {IEEE},
  title        = {Effect of control in electrical drives on image registration supporting motion state estimation},
  url          = {http://dx.doi.org/10.23919/ICEMS.2018.8549118},
  year         = {2018},
}

Altmetric
View in Altmetric
Web of Science
Times cited: