Genetic Algorithm (GA) based modeling of non-linear behavior of friction of a rolling ball guide way

被引:2
|
作者
Tsuruta, K [1 ]
Murakami, T [1 ]
Futami, S [1 ]
Sumimoto, T [1 ]
机构
[1] Yaskawa Elect Corp, Kokurakita Ku, Kitakyushu, Fukuoka 8038530, Japan
关键词
D O I
10.1109/AMC.2000.862853
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we propose a new dynamic model for friction. The non-linear behavior model can be used for modeling Coulomb friction, viscous friction and Stribeck effect, and can also be used to study the non-linear behavior of elastic deformation. The frictional force does not cause disturbance in the accelerated motion, but lends a support. The model curve is not symmetrical with zero velocity; Properties of model that are relevant to control design are investigated by analysis and simulation. Genetic Algorithm (GA) has been used for tuning the model. Tuning results show that the proposed model is more accurate than conventional models.
引用
收藏
页码:181 / 186
页数:6
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