Multi-objective optimization method for disc type magnetic coupler based on Kriging and hierarchical strategy

By combining the multi-objective optimization method with Kriging model and hierarchical strategy, the problems of complex optimization process and high computing cost in the disk magnetic coupler design are solved, efficient multi-objective optimization is achieved, and the globality and accuracy of the design are improved.

CN120145748APending Publication Date: 2025-06-13ZHONGYUAN ENGINEERING COLLEGE
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Patent Information

Application Number
CN202510218416.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-26
Publication Date
2025-06-13

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Abstract

The invention discloses a multi-objective optimization method for a disc type magnetic coupler based on Kriging and a layering strategy. The multi-objective optimization method comprises the following steps: establishing a finite element model of the disc type magnetic coupler; selecting an optimization target, optimization parameters and a parameter interval range; a Taguchi orthogonal sampling method is combined with a finite element model to construct a sample data set among the output torque, the axial force and the optimization parameters of the disc type magnetic coupler; layering optimization parameters through sensitivity analysis and coupling degree analysis; establishing an optimization agent model of the disc-type magnetic coupler by using the sample data set and a Kriging method; sequentially optimizing each layer by using a multi-target genetic algorithm; while the output torque is maximized and the axial attraction force is minimized, the volume is used as an optimal selection function, and an optimal parameter combination is output. By means of the method, key structure parameter design optimization of the disc type magnetic coupler is achieved, optimization time is remarkably shortened, the torque is greatly improved, axial force is reduced, meanwhile, the size is reduced, and economic benefits are increased.
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