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https://doi.org/10.32985/ijeces.15.8.7

Improved Parameter Estimation of Three-Phase Squirrel-Cage Induction Motors Using the Nelder-Mead Simplex Algorithm

Son T. Nguyen orcid id orcid.org/0000-0003-0272-3299 ; Hanoi University of Science and Technology, School of Electrical and Electronic Engineering Dai Co Viet Street, Hanoi, Vietnam *
Linh V. Trieu ; Hanoi University of Science and Technology, School of Electrical and Electronic Engineering Dai Co Viet Street, Hanoi, Vietnam
Tu M. Pham ; Hanoi University of Science and Technology, School of Electrical and Electronic Engineering Dai Co Viet Street, Hanoi, Vietnam
Anh Hoang ; Hanoi University of Science and Technology, School of Electrical and Electronic Engineering Dai Co Viet Street, Hanoi, Vietnam

* Dopisni autor.


Puni tekst: engleski pdf 1.247 Kb

str. 695-703

preuzimanja: 44

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Sažetak

This work presents a technique for precisely determining the characteristics of a squirrel-cage three-phase induction motor using the Nelder-Mead simplex algorithm. This approach is a frequently employed numerical optimization technique for determining the minimal value of a multi-dimensional objective function. An advantageous feature of the Nelder-Mead simplex algorithm is its independence from the need to calculate partial derivatives of the objective function. Nevertheless, similar to several optimization techniques, the Nelder-Mead simplex approach can also exhibit sensitivity to the initial conditions. Thus, the initial estimation of the parameters of the approximated equivalent circuit of the induction motor was used as the starting point for the Nelder-Mead optimization approach. The experiment's results are compared to those obtained using the polynomial regression approach to demonstrate the efficacy of the proposed method.

Ključne riječi

three-phase induction motor; parameter estimation; the Nelder-Mead simplex algorithm;

Hrčak ID:

320788

URI

https://hrcak.srce.hr/320788

Datum izdavanja:

10.9.2024.

Posjeta: 130 *