An optimal design method of axially phase-separated magnetic suspension switched reluctance flywheel motor

Abstract

The invention discloses an optimized design method of an axial phase-separated magnetic suspension switched reluctance flywheel motor, comprising the following steps: an initial value of structural parameters of the axial phase-separated magnetic suspension switched reluctance flywheel motor is estimated; Based on the initial value, the three-dimensional finite element electromagnetic calculationmodel is constructed, and the key structural parameters are selected by sensitivity analysis. The key structure parameters are inputted into the three-dimensional finite element electromagnetic calculation module to obtain the output variables corresponding to the motor performance indicators to form the sample data set. The unified optimization objective function is constructed by taking the keystructural parameters as the structural parameters to be optimized, and the kernel limit learning machine algorithm is used to train the sample data set to construct the optimization model corresponding to the optimization objective function. the structure parameters to be optimized are taken as the input of the optimization model, the PSO algorithm with weight inertia adjustment is used to obtainthe optimization value of the key structure parameters, and the optimization operation of the motor is completed. The invention realizes the purpose of multi-objective synergistic optimization of theaxial split-phase magnetic suspension switched reluctance flywheel motor.

Description

technical field [0001] The invention belongs to the technical field of magnetic levitation motors, and in particular relates to an optimal design method of an axial phase-splitting magnetic levitation switched reluctance flywheel motor. Background technique [0002] With the development of new energy power generation, distributed power systems, hybrid vehicles and aerospace, energy storage technology has become a worldwide research topic. Flywheel energy storage has been highly valued at home and abroad for its advantages of high energy storage density, high instantaneous power, high power density, fast charge and discharge speed, high energy conversion efficiency, long service life, and cleanliness. The motor is the core device of electromechanical energy conversion in the flywheel energy storage system, which directly affects and determines the performance of the entire flywheel system. The magnetic levitation switched reluctance motor fully retains the excellent characte...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide an optimal design method for axial phase-splitting magnetic levitation switched reluctance flywheel motor in view of the problems in the prior art that the motor operates complicatedly and cannot guarantee the optimal comprehensive performance of the flywheel energy storage. The learning machine identification method constructs the optimization objective function, realizes the fast and accurate modeling of small sample data, and improves the accuracy and speed of the optimization model; uses the multi-objective optimization algorithm for parameter design, and realizes the reluctance flywheel of the axial phase split magnetic levitation switch Motor torque efficiency, suspension efficiency, torque power density, suspension power density and other multi-objective optimization, the specific technical scheme is as follows:

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