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Identification method of nonlinear systems with friction based on Genetic Algorithm

机译:基于遗传算法的非线性摩擦系统辨识方法

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摘要

Genetic Algorithm (GA) is an optimization procedure which can be applied to the identification of the nonlinear structure of a dynamic model by using experimental data. In this paper, the GA is introduced to identify the precision stage with the nonlinear friction. By means of the GA approach with a nonlinear polynomial model, the structure as well as its coefficients can be modeled accurately, and the resulting model provides a useful physical meaning. The efficiency of the proposed GA-based identification is verified by the experiments using the precision positioning equipment.
机译:遗传算法(GA)是一种优化程序,可通过使用实验数据将其应用于动态模型的非线性结构的识别。本文介绍了遗传算法来识别具有非线性摩擦的精密平台。借助具有非线性多项式模型的GA方法,可以准确地对结构及其系数进行建模,并且所得模型提供了有用的物理意义。通过使用精密定位设备进行的实验验证了所提出的基于GA的识别的效率。

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