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DOI: 10.14569/IJACSA.2015.060115
PDF

A Review on Parameters Identification Methods for Asynchronous Motor

Author 1: Xing Zhan
Author 2: Guohui Zeng
Author 3: Jin Liu
Author 4: Qingzhen Wang
Author 5: Sheng Ou

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 1, 2015.

  • Abstract and Keywords
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Abstract: The decoupling of excitation current and torque current is realized by Vector control so that the speed regulating performance of asynchronous motor is comparable with that of dc motor. The control precision is directly affected by accuracy of parameter identification in asynchronous motor. In this paper, based on the existing literatures, the existed parameters identification methods both online and offline are analyzed and compared, and the advantages and disadvantages of the various algorithms are listed it tables. Therefore, a comprehensive identification method of adjustable model which makes the least square method as adaptive method of model reference is presented. Finally, the outlook of developing direction for parameters identification of asynchronous motor are put forward to.

Keywords: Vector control; Parameters identification; MRAS; the least square method

Xing Zhan, Guohui Zeng, Jin Liu, Qingzhen Wang and Sheng Ou. “A Review on Parameters Identification Methods for Asynchronous Motor”. International Journal of Advanced Computer Science and Applications (IJACSA) 6.1 (2015). http://dx.doi.org/10.14569/IJACSA.2015.060115

@article{Zhan2015,
title = {A Review on Parameters Identification Methods for Asynchronous Motor},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060115},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060115},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {1},
author = {Xing Zhan and Guohui Zeng and Jin Liu and Qingzhen Wang and Sheng Ou}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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