Optimal Design of Three-phase Induction Motor Based on MATLAB Genetic Algorithm

The design of three-phase induction motor can be planned according to the experience value, but because of the variable of the motor design, complex constraints, to seek an optimal design scheme, only by the experience is far from enough, so the computer is needed to write a suitable optimization de...

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Bibliographic Details
Published in2023 International Conference on Advances in Electrical Engineering and Computer Applications (AEECA) pp. 370 - 374
Main Authors Shi, Shuqi, Fang, Zilong, Tang, Hongwei
Format Conference Proceeding
LanguageEnglish
Published IEEE 18.08.2023
Subjects
Asynchronous motor
cost
Costs
Electric vehicles
genetic algorithms
Induction motors
Linear programming
Mathematical models
optimal design
Programming
Simulation
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Summary:The design of three-phase induction motor can be planned according to the experience value, but because of the variable of the motor design, complex constraints, to seek an optimal design scheme, only by the experience is far from enough, so the computer is needed to write a suitable optimization design program for high speed and efficient design. The genetic algorithm is applied to the optimal design of three-phase induction motor, a mathematical model for optimizing induction motors was constructed, optimization variables were determined, and an objective function for motor cost was established. Through the principles and basic operations of genetic algorithm, the cost of the motor is optimized. The results show that the optimal design scheme is reasonable and the motor cost is reduced by 8.5%, which verifies the correct of the optimization scheme.
DOI:10.1109/AEECA59734.2023.00072