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Identification of Friction Parameters Based on Genetic Algorithm in Servo Control System

机译:基于遗传算法的伺服控制系统摩擦参数辨识

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The friction is detrimental to the normal work of the servo system, but the friction mechanism is very complicated. In this paper, Tustin friction model is used as the friction parameter identification, reflecting the phenomenon of friction in the system, and laying the foundation for the friction compensation. Tustin model is a nonlinear friction one, and the friction properties can be reflected better with four friction parameters. In this paper, we use genetic algorithms for parameter identification of these parameters, and its search capabilities and more robust than traditional algorithms, to be more accurate recognition results.
机译:摩擦对伺服系统的正常工作是有害的,但是摩擦机构非常复杂。本文以塔斯汀摩擦模型作为摩擦参数识别方法,反映了系统中的摩擦现象,为摩擦补偿奠定了基础。 Tustin模型是一种非线性摩擦模型,可以通过四个摩擦参数更好地反映摩擦特性。在本文中,我们使用遗传算法对这些参数进行参数识别,并且其搜索功能比传统算法更强大,以得到更准确的识别结果。

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