Numerical Estimation and Experimental Verification of Optimal Parameter Identification Based on Modern Optimization of a Three Phase Induction Motor

Mathematics

Hegazy Rezk¹  Mohamed N. Ibrahim²  Asmaa A. Elghany³  Abo Hashema M.El Sayed⁴  Mujahed Al-Dhaifallah⁵ 

[1] College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Al-Kharj 11991, Saudi Arabia;Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Ghent University, 9000 Ghent, Belgium;Electrical Engineering Department, Beni Suef University, Beni Suef 62521, Egypt;Electrical Engineering Dept., Faculty of Engineering, Minia University, Al-Minya 61519, Egypt;Systems Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia;

关键词: particle swarm optimization;    numerical parameter estimation;    induction motor;   

DOI  :  10.3390/math7121135

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown