An electromagnetic mechanism static characteristic optimization method

A static characteristic and electromagnetic mechanism technology, applied in design optimization/simulation, electrical digital data processing, special data processing applications, etc., can solve problems such as inability to take into account convergence speed and convergence, uneven optimal solution set, slow convergence speed, etc. problem, to achieve the effect of increasing global search ability, improving convergence, and improving uniformity

CN109190241AActive Publication Date: 2019-01-11SHAANXI QUNLI ELECTRIC
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2019-01-11

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Abstract

The invention relates to an electromagnetic mechanism static characteristic optimization method based on an adaptive weight multi-objective differential evolution algorithm, which comprises the following steps: S1, determining parameters to be optimized and static characteristic related indexes of an electromagnetic system; S2, determining the upper limit and the lower limit of each static characteristic optimization parameter according to the product material and the processing technology of the electromagnetic mechanism, and simultaneously determining an additional constraint index related to the static characteristic optimization parameter; S3, obtaining an initial population; S4: obtaining the Pareto solution set distribution of the optimization objective function; S5, selecting different mutation strategies and crossing strategies according to the number of iteration times of the current optimization parameter population and the Pareto dominance relationship of each optimization parameter, generating a progeny population, repeating the operation of step 4 to the whole population, and adopting a selection strategy considering the niche sorting result to control the population size; S6, obtaining the Pareto solution set distribution of the optimization objective function; S7, selecting a group of optimization parameters from the obtained groups of optimization parameters, and taking the group of optimization parameters as the optimization design parameters of the electromagnetic mechanism.
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Description

technical field

[0001] The invention relates to the technical field of static characteristic optimization of an electromagnetic mechanism, in particular to a static characteristic optimization method of an electromagnetic mechanism based on an adaptive weight multi-objective differential evolution algorithm. Background technique

[0002] With the development of computer technology, the method of converting practical engineering problems into mathematical problems for solving is more and more widely used, which greatly shortens the development cycle and improves the development efficiency. The optimization of the static characteristics of the relay electromagnetic mechanism often requires the optimization of multiple parameters. Due to the limitations of the product material and processing technology of the electromagnetic mechanism, there are upper and lower limits for each parameter and there are corresponding constraint indicators between them. At the same time, the optimiz...

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Embodiment Construction

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0032] figure 1 It is a flowchart of an electromagnetic mechanism static characteristic optimization method based on an adaptive weight multi-objective differential evolution algorithm provided by the present invention, such as figure 1 As shown, the method for optimizing the static characteristics of the electromagnetic mechanism based on the adaptive weight multi-objective differential evolution algorithm provided by the present invention includes the follow...