Genetic algorithm-based method for identifying nonlinear parameters of hinge structure

Abstract

The invention discloses a genetic algorithm-based method for identifying nonlinear parameters of a hinge structure. The method comprises the steps of describing nonlinear characteristics of a hinge inthe hinge structure by using a nonlinear model, building a dynamics model of the hinge structure, and obtaining M, K and C equations of the hinge structure; converting the M, K and C equations of thehinge structure into a nonlinear algebraic equation set; solving the obtained algebraic equation set by utilizing an Newton iterative method in numerical analysis to obtain frequency response data ofthe hinge structure; and according to the solved frequency response data and frequency response data obtained by testing, building an objective function, performing a global search through a GA in Matlab, and finally identifying optimal nonlinear parameter values. According to the method for identifying the nonlinear parameters of the hinge structure, the nonlinear characteristics of the hinge structure can be identified, so that the limitations that an experiential initial value needs to be provided and local optimum only can be ensured in a conventional method are overcome.

Description

technical field [0001] The invention relates to a method for identifying hinge-containing structure parameters, in particular to a method for identifying nonlinear parameters in a hinge-containing structure with a genetic algorithm. Background technique [0002] With the rapid development of the aerospace industry, deployable structures have been widely used in space missions, such as solar sails, solar cell arrays, and space antenna support mechanisms. [0003] The components of the deployable structure are connected by hinges, but the structure of the hinge is complex. Due to the existence of gaps, under the action of external loads, nonlinear phenomena such as mutual contact, friction and collision will occur between the components, making the dynamics of the structure The physical characteristics have strong nonlinear characteristics. Therefore, the influence of the hinge on the dynamic characteristics of the structure cannot be ignored, and it is necessary to study the...

AI Technical Summary

Problems solved by technology

The reverse problem of dynamical system - parameter identification is the key link of modern control and optimization design, so it has received extensive attention from scholars at home and abroad this year, and various parameter identification methods have been proposed one after another, but most of these methods exist to provide nonlinear parameters The initial value of the experience, and it is easy to fall into the trap of local minimum, resulting in the phenomenon of "infinite loop", which makes it impossible to iterate, and can only guarantee the local optimum of parameter values, etc.

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