Load test of induction motors based on PWM technique using genetic algorithm

Load test of induction motors based on PWM technique using genetic algorithm

Автор: Basem E. Elnaghi, Reham H. Mohammed, Sobhy S. Dessouky, Mariam K. Shehata

Журнал: International Journal of Engineering and Manufacturing @ijem

Статья в выпуске: 2 vol.9, 2019 года.

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Genetic algorithms(GA) is optimization technique used in the equivalent load test of the induction motors to select the values of the factors(modulation indicators) that effect on the performance properties in terms of the values of the currents and the total loss within the machine. One way to choose these parameters is by trial and error while this paper based on GA method to improve the parameters selection. A model is designed to simulate the loading of the induction motor and obtain its own results by the MATLAB program 2017a. There are different methods used to achieve this task such as PWM inverter with different modulation techniques, Constant Voltage Variable Frequency (CVVF) method, Variable Voltage Constant Frequency (VVCF) method and Variable Voltage Variable Frequency (VVVF) method.

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Equivalent load, Induction motor, Genetic algorithms, Modulation techniques

Короткий адрес: https://sciup.org/15015876

IDR: 15015876   |   DOI: 10.5815/ijem.2019.02.01

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