Robust parameter estimation of vector controlled induction motors based on a modified particle swarm optimization technique

Elghany, Asmaa A.; Rezk, Hegazy; Sayed, Abo Hashema M El

doi:10.1109/mepcon.2016.7836887

Cited by 3 publications

(1 citation statement)

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“…To assess the parameters to be distinguished, the fitness function for this identification problem will be contrasted. To serve this purpose, the objective function can be formulated by way of [25]:…”

Section: Parametric Characterizationmentioning

confidence: 99%

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

et al. 2019

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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.

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Section: Parametric Characterizationmentioning

confidence: 99%