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

Hegazy Rezk, Asmaa A. Elghany, Mujahed Al-Dhaifallah, Abo Hashema M. El Sayed and Mohamed N. Ibrahim
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Hegazy Rezk: College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Al-Kharj 11991, Saudi Arabia
Asmaa A. Elghany: Electrical Engineering Department, Beni Suef University, Beni Suef 62521, Egypt
Mujahed Al-Dhaifallah: Systems Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
Abo Hashema M. El Sayed: Electrical Engineering Dept., Faculty of Engineering, Minia University, Al-Minya 61519, Egypt
Mohamed N. Ibrahim: Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Ghent University, 9000 Ghent, Belgium

Mathematics, 2019, vol. 7, issue 12, 1-13

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 (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2019
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