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Investigation Of Induction Machine Parameter Estimation Using Least Squares Optimization (CROSBI ID 697597)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Varga, Toni ; Benšić Tin ; Jerković Štil, Vedrana ; Barukčić, Marinko Investigation Of Induction Machine Parameter Estimation Using Least Squares Optimization. 2020. doi: 10.1049/icp.2021.1013

Podaci o odgovornosti

Varga, Toni ; Benšić Tin ; Jerković Štil, Vedrana ; Barukčić, Marinko

engleski

Investigation Of Induction Machine Parameter Estimation Using Least Squares Optimization

In this paper, the authors investigate a method for induction machine parameter estimation by employing a population-based metaheuristic algorithm that optimizes unknown parameter values using the least squares criteria. Comparing the measured values of current and speed, that were previously obtained during line start experiment, with the calculated values obtained from solving the state-space induction machine model equations, the algorithm calculates residual values and optimizes unknown parameter values in order to generate minimal residue. Results obtained by the optimization are presented and discussed.

Ant Colony Optimization ; Time Varying Parameters ; Induction Machine ; Least Squares Method ; Line Start Experiment

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Podaci o prilogu

188

2020.

objavljeno

10.1049/icp.2021.1013

Podaci o matičnoj publikaciji

Podaci o skupu

The 10th International Conference on Power Electronics, Machines and Drives

predavanje

15.12.2020-17.12.2020

Nottingham, Ujedinjeno Kraljevstvo

Povezanost rada

Elektrotehnika

Poveznice