76
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Displacement sensorless control of a bearingless induction motor based on hybrid flux estimation

, , , &
Pages 1423-1433 | Received 22 Jul 2021, Accepted 16 Nov 2021, Published online: 15 Dec 2022
 

ABSTRACT

To address the problems of bulk-size, high cost for traditional mechanical displacement sensors in a bearingless induction motor (BL-IM), a displacement sensorless control strategy based on hybrid flux estimation for the BL-IM is proposed. By analyzing the merits and shortcomings of the voltage-type and the current-type flux estimator, a hybrid flux estimation model composed of two kinds of flux estimators is designed using the complementary characteristics of the two estimation models in high- and low-speed applications, and the velocity correlation function is used to achieve dynamic smooth switching between two models in the medium-speed zone. Secondly, the radial displacement of the rotor is calculated according to the mathematical model of the BL-IM, so as to realize the self-detection of the rotor displacement. Then, the vector control displacement sensorless system of the BL-IM is established. Finally, the simulation and experimental study are carried out on an experimental prototype designed by our research group. The simulation and experimental results show that the flux estimator has good estimation accuracy, and the sensorless control system of the BL-IM based on flux estimation not only has good self-detection ability of rotor radial displacement, but also has good speed characteristic and suspension properties.

Acknowledgments

This work was supported by the Natural Science Foundation of China under Projects 51875261, Natural Science Foundation of Jiangsu Province of China under Project BK20221366.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The work was supported by the the Natural Science Foundation of China [51875261]and the Natural Science Foundation of Jiangsu Province of China [BK20221366].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 405.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.