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Numerical estimation and experimental verification of optimal parameter identification based on modern optimization of a three phase induction motor

(2019) MATHEMATICS. 7(12).
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Abstract
The parameters of electric machines play a substantial role in the control system which, in turn, has a great impact on machine performance. In this paper, a proposed optimal estimation method for the electrical parameters of induction motors is presented. The proposed method uses the particle swarm optimization (PSO) technique. Further, it also considers the influence of temperature on the stator resistance. A complete experimental setup was constructed to validate the proposed method. The estimated electrical parameters of a 3.8-hp induction motor are compared with the measured values. A heat run test was performed to compare the effect of temperature on the stator resistance based on the proposed estimation method and the experimental measurements at the same conditions. It is shown that acceptable accuracy between the simulated results and the experimental measurements has been achieved.
Keywords
particle swarm optimization, numerical parameter estimation, induction motor, ONLINE ESTIMATION, GLOBAL MPPT, ALGORITHMS

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MLA
Rezk, Hegazy, et al. “Numerical Estimation and Experimental Verification of Optimal Parameter Identification Based on Modern Optimization of a Three Phase Induction Motor.” MATHEMATICS, vol. 7, no. 12, 2019, doi:10.3390/math7121135.
APA
Rezk, H., Elghany, A. A., Al-Dhaifallah, M., El Sayed, A. H. M., & Ibrahim, M. N. F. (2019). Numerical estimation and experimental verification of optimal parameter identification based on modern optimization of a three phase induction motor. MATHEMATICS, 7(12). https://doi.org/10.3390/math7121135
Chicago author-date
Rezk, Hegazy, Asmaa A Elghany, Mujahed Al-Dhaifallah, Abo Hashema M El Sayed, and Mohamed Nabil Fathy Ibrahim. 2019. “Numerical Estimation and Experimental Verification of Optimal Parameter Identification Based on Modern Optimization of a Three Phase Induction Motor.” MATHEMATICS 7 (12). https://doi.org/10.3390/math7121135.
Chicago author-date (all authors)
Rezk, Hegazy, Asmaa A Elghany, Mujahed Al-Dhaifallah, Abo Hashema M El Sayed, and Mohamed Nabil Fathy Ibrahim. 2019. “Numerical Estimation and Experimental Verification of Optimal Parameter Identification Based on Modern Optimization of a Three Phase Induction Motor.” MATHEMATICS 7 (12). doi:10.3390/math7121135.
Vancouver
1.
Rezk H, Elghany AA, Al-Dhaifallah M, El Sayed AHM, Ibrahim MNF. Numerical estimation and experimental verification of optimal parameter identification based on modern optimization of a three phase induction motor. MATHEMATICS. 2019;7(12).
IEEE
[1]
H. Rezk, A. A. Elghany, M. Al-Dhaifallah, A. H. M. El Sayed, and M. N. F. Ibrahim, “Numerical estimation and experimental verification of optimal parameter identification based on modern optimization of a three phase induction motor,” MATHEMATICS, vol. 7, no. 12, 2019.
@article{8636048,
  abstract     = {{The parameters of electric machines play a substantial role in the control system which, in turn, has a great impact on machine performance. In this paper, a proposed optimal estimation method for the electrical parameters of induction motors is presented. The proposed method uses the particle swarm optimization (PSO) technique. Further, it also considers the influence of temperature on the stator resistance. A complete experimental setup was constructed to validate the proposed method. The estimated electrical parameters of a 3.8-hp induction motor are compared with the measured values. A heat run test was performed to compare the effect of temperature on the stator resistance based on the proposed estimation method and the experimental measurements at the same conditions. It is shown that acceptable accuracy between the simulated results and the experimental measurements has been achieved.}},
  articleno    = {{1135}},
  author       = {{Rezk, Hegazy and Elghany, Asmaa A and Al-Dhaifallah, Mujahed and El Sayed, Abo Hashema M and Ibrahim, Mohamed Nabil Fathy}},
  issn         = {{2227-7390}},
  journal      = {{MATHEMATICS}},
  keywords     = {{particle swarm optimization,numerical parameter estimation,induction motor,ONLINE ESTIMATION,GLOBAL MPPT,ALGORITHMS}},
  language     = {{eng}},
  number       = {{12}},
  pages        = {{14}},
  title        = {{Numerical estimation and experimental verification of optimal parameter identification based on modern optimization of a three phase induction motor}},
  url          = {{http://dx.doi.org/10.3390/math7121135}},
  volume       = {{7}},
  year         = {{2019}},
}

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