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About RychenFocus on high-tech research and development, energy-saving product design and production in the fields of fluid transportation (water pump, fan), fine control combustion, high-efficiency heat exchange and high-efficiency permanent magnet motor, and provide professional technical transformation services to provide users with professional comprehensive energy-saving solutions.
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SolutionFocus on high-tech research and development, energy-saving product design and production in the fields of fluid transportation (water pump, fan), fine control combustion, high-efficiency heat exchange and high-efficiency permanent magnet motor, and provide professional technical transformation services to provide users with professional comprehensive energy-saving solutions.
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ProductsFocus on high-tech research and development, energy-saving product design and production in the fields of fluid transportation (water pump, fan), fine control combustion, high-efficiency heat exchange and high-efficiency permanent magnet motor, and provide professional technical transformation services to provide users with professional comprehensive energy-saving solutions.
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BlogWe focus on high-tech research and development, energy-saving product design and production in the fields of fluid transportation (water pump, fan), fine control combustion, high-efficiency heat exchange and high-efficiency permanent magnet motor, and provide professional technical transformation services to provide users with professional comprehensive energy-saving solutions.
Multi-objective Optimization of Permanent Magnet Synchronous Motor Based on SVM MOCDE Algorithm
Release time:
2024-06-20
The sample space of each variable is obtained by orthogonal design simulation, the simulation data set is fitted by support vector machine (SVM), and the multi-objective differential evolution (MOCDE) algorithm is used to optimize the parameters of permanent magnet motor, such as the optimal pole arc coefficient, magnetic pole offset, auxiliary slot and stator slot width, and so on, to optimize the cogging torque and air gap magnetic density distortion rate.
The sample space of each variable is obtained by orthogonal design simulation, the simulation data set is fitted by support vector machine (SVM), and the multi-objective differential evolution (MOCDE) algorithm is used to optimize the parameters of permanent magnet motor, such as the optimal pole arc coefficient, magnetic pole offset, auxiliary slot and stator slot width, and so on, to optimize the cogging torque and air gap magnetic density distortion rate.
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