scholarly journals Dynamic modeling method for air bearings in ultra-precision positioning stages

2016 ◽  
Vol 8 (8) ◽  
pp. 168781401666429 ◽  
Author(s):  
Xiulan Bao ◽  
Jincheng Mao
Keyword(s):  
Dynamic Modeling ◽  
Modeling Method ◽  
Air Bearings ◽  
Precision Positioning ◽  
Ultra Precision

The Method of Tree Dynamic Modeling under Rainfall Field

2013 ◽  
Vol 475-476 ◽  
pp. 1551-1554
Author(s):  
Tie Nan Li ◽  
Shun Yu ◽  
Feng Yang
Keyword(s):  
Dynamic Modeling ◽  
Young Modulus ◽  
Modeling Method ◽  
Tree Modeling ◽  
Almost All

Almost all the fields use tree modeling in society, so it analyses the tree modeling in the academic circles. But it is difficult to find an efficient tree modeling method because its own complexity and wind, rain acting on tree. The object suffers rain power that the force calculated by momentum theorem. And then compare the value of rupture limit to Young modulus. It is determined object to fracture or sway. Then it constructs tree dynamic modeling in the nature.

A Fast Human–Computer Interaction Dynamic Modeling Method for Transmission Tower in Power Systems

2021 ◽  
pp. 1145-1155
Author(s):  
Fuqiang Sun ◽  
Menghua Zhang ◽  
Weijie Huang ◽  
Yongfeng Zhang ◽  
Bo Shi ◽  
...  
Keyword(s):  
Power Systems ◽  
Human Computer Interaction ◽  
Dynamic Modeling ◽  
Modeling Method ◽  
Transmission Tower ◽  
Interaction Dynamic ◽  
Computer Interaction

Modeling and Validation of Ultra Precision Positioning System

2011 ◽  
Vol 87 ◽  
pp. 200-205 ◽  
Author(s):  
Jing Shu Wang ◽  
Li Ting Sun ◽  
Ming Chi Feng ◽  
Chang An Zhu
Keyword(s):  
Rigid Body ◽  
Elastic Body ◽  
Stable State ◽  
Least Square ◽  
Positioning System ◽  
Precision Positioning ◽  
Unknown Parameters ◽  
Body Model ◽  
Rigid Body Model ◽  
Ultra Precision

Base on the significance of understanding research objects, modeling and validation of ultra precision positioning system is studied in this paper. Taking different reduction methods of leaf springs into consideration, a rigid body model and an elastic body model has been developed. Identifying unknown parameters by the least square method, the validation results of two models are compared. The conclusion indicates that the elastic body model is better when the dynamic characteristics of the positioning system before the stable state are concerned and the rigid body model is more appropriate if the accuracy of the whole model is focused.

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