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GENETIC ALGORITHM-BASED METHOD FOR IDENTIFYING NONLINEAR PARAMETER OF HINGE STRUCTURE

机译:基于遗传算法的铰链结构非线性参数识别方法

摘要

A genetic algorithm (GA)-based method for identifying a nonlinear parameter of a hinge structure. The method comprises: describing nonlinear characteristics of a hinge in a hinge structure by using a nonlinear model, creating 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 the hinge structure into a system of nonlinear algebraic equations; solving the obtained system of algebraic equations by utilizing an Newton's iterative method in numerical analysis to obtain frequency response data of the hinge structure; and creating an objective function according to the obtained frequency response data and frequency response data obtained by testing, performing a global search by means of a GA in Matlab, and finally identifying an optimal nonlinear parameter value. By means of the method, nonlinear characteristics of a hinge structure can be identified, and thus, the limitations of requiring an initial experiential value and only ensuring local optimum in a conventional method are overcome.
机译:基于遗传算法(GA)的方法来识别铰链结构的非线性参数。该方法包括:通过使用非线性模型描述铰链结构中的铰链的非线性特性,创建铰链结构的动力学模型,并获得铰链结构的M,K和C方程;将铰链结构的M,K和C方程转换为非线性代数方程组;在数值分析中采用牛顿迭代法求解得到的代数方程组,得到铰链结构的频率响应数据。根据获得的频率响应数据和通过测试获得的频率响应数据,创建目标函数,利用Matlab中的遗传算法进行全局搜索,最终确定出最佳的非线性参数值。通过该方法,可以识别铰链结构的非线性特性,从而克服了传统方法中需要初始经验值和仅确保局部最优的局限性。

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