Parameter estimation of induction motor with bioinspired algorithms

被引：0
|
作者：
Antonelli, Sofia L. [1 ]
Donolo, Pablo D. [2 ]
Pezzani, Carlos M. [2 ]
De Angelo, Cristian H. [2 ]
机构：
[1] UNRC, CONICET, IITEMA, UTN FRSN,GEA Fac Ingn, Rio Cuarto, Argentina
[2] UNRC, GEA Fac Ingn, IITEMA, CONICET, Rio Cuarto, Argentina
来源：
2024 IEEE BIENNIAL CONGRESS OF ARGENTINA, ARGENCON 2024 | 2024年
关键词：
Parameter estimation; induction motor; Bio Inspired Algorithms; IDENTIFICATION; OPTIMIZATION;
D O I：
10.1109/ARGENCON62399.2024.10735812
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The identification of induction motor (IM) parameters is crucial for developing accurate models that simulate IM behavior under various conditions. This, in turn, facilitates the optimal design of control systems, early fault diagnosis, and predictive maintenance. Additionally, accurate parameter identification enables the implementation of energy efficiency strategies, reducing consumption and optimizing IM performance. This review article will analyze and elaborate on bioinspired optimization-based methods that have been widely employed in the parameter estimation of IMs.
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页数：7
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