Multi-objective optimization design method of motor based on design variable layering

Abstract

The invention discloses a design variable stratification-based motor multi-target optimization design method in the field of motor optimization design. The method comprises the steps of determining an optimization model, a constraint condition and comprehensive sensitivity R(ai); when R(ai) is greater than or equal to delta, putting corresponding p design variables in a layer 1, wherein delta is the precision of a division layer; when R(ai) is less than delta, putting corresponding n-p design variables in a layer 2; obtaining relationships between k optimization targets and the p design variables in the layer 1 through a response surface method, wherein k is greater than or equal to 2 and less than or equal to n, p is greater than or equal to 1 and less than m, n is the number of optimization targets, and m is the number of design variables; determining a comprehensive optimal solution of the k optimization targets in the layer 1 according to the optimization model and the constraint condition; and determining an optimal value of the n-p design variables in the layer 2 by adopting an error function. Therefore, a plurality of the optimization targets can be simultaneously optimized and are effectively traded off under the condition that a plurality of the optimization targets conflict mutually to solve the comprehensive optimal solution.

Description

technical field [0001] The invention relates to the field of motor optimization design, in particular to a multi-objective intelligent optimization design method for motors under constraint conditions. Background technique [0002] In the optimal design of motors, the number of design variables and constraint conditions is relatively large, and at the same time, the design variables are interrelated, so it is difficult for traditional optimization methods to guarantee the accuracy of optimization results. In order to solve this problem, a method based on the design variable stratification has been proposed. The traditional motor design method based on the design variable stratification is: firstly, the design variables are stratified from the perspective of the correlation of the design variables, but only based on two The design variables influence each other, and the two design variables are artificially separated, one of which is the first layer, and the other variable an...

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Problems solved by technology

[0003] Aiming at the deficiencies in the traditional motor optimization design method, the present invention proposes a motor multi-objective optimization design method based on design variable stratification, which divides the design variables into different layers, and adopts different optimization methods for the design variables of different levels, Solved the problem that multiple optimization goals conflicted with each other during the optimization process

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