Paper Titles
Manufacturing of Aerospace Parts with Diffusion Bonding Technology
p.182
Properties of TaN Coating Film Deposited on WC-Co-Based Cemented Carbide Using Magnetron Sputter Ion Plating
p.186
High-Precision Moment of Inertia Testing System and Error Analysis
p.191
High-Temperature Response of TiC Particulate Reinforced Titanium Matrix Composite
p.196
Modeling and Validation of Ultra Precision Positioning System
p.200
Modelling of Unilateral Contact of Metal and Fiberglass Shells
p.206
An Adaptive Ant Colony Algorithm Improved and Simulation
p.209
Research on Preparation and Properties of Edible Composite Protein Films
p.213
Development of Cutting Force Model of Aluminum Nitride Ceramic Processed by Micro End Milling
p.223

Modeling and Validation of Ultra Precision Positioning System

Article Preview

Abstract:

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.

You might also be interested in these eBooks
Applied Mechanics and Manufacturing Technology View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 87)

Pages:

200-205

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.87.200

Citation:

Cite this paper

Online since:

August 2011

Authors:

Jing Shu Wang, Li Ting Sun, Ming Chi Feng, Chang An Zhu

Keywords:

Elastic Body Model, Identification, Positioning System, Rigid Body Model, Validation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] K. Kuhnene and H. Janocha: Inverse feedforward controller for complex hysteretic nonlinearities in smart-material systems. Control and Intelligent Systems, Vol. 29 (2001), pp.74-83.

Google Scholar

[2] Lu Lihua, Liang Yingchun and Guo Yongfeng: Design and testing of a nanometer positioning system. Journal of Dynamic Systems, Measurement and Control Vol. 132 (2010), p.021011.

DOI: 10.1115/1.4000811

Google Scholar

[3] J. L. Ha, R. F. Fung, C. F. Han and J. R. Chang: Effects of frictional models on the dynamic response of the impact drive mechanism. Journal of Vibration and Acoustics Vol. 128 (2006), pp.88-96.

DOI: 10.1115/1.2128641

Google Scholar

[4] Ho-Sang Kim, Eui-Jung Kim: Feed-forward control of fast tool servo for real-time correction of spindle error in diamond turning of flat surfaces. International Journal of Machine Tools & Manufacture Vol. 43(2003), pp.1177-1183.

DOI: 10.1016/s0890-6955(03)00156-1

Google Scholar

[5] D. W. Gao, C. Mi and A. Emadi: Modeling and Simulation of Electric and Hybrid Vehicles. Proceedings of the IEEE Vol. 95 (2007), pp.729-745.

DOI: 10.1109/jproc.2006.890127

Google Scholar

[6] R. M. Pidaparti, S. Jayanti, J. Henkle and H. El-Mounayri: Design simulation of twisted cord-rubber structure using proE/ANSYS. Composite Structures Vol. 52 (2001), pp.287-294.

DOI: 10.1016/s0263-8223(01)00021-6

Google Scholar

[7] W. Kemmetmuller, S. Muller and A. Kugi: Mathematical Modeling and Nonlinear Controller Design for a Novel Electrohydraulic Power-Steering System. IEEE/ASME Transactions on mechatronics Vol. 12 (2007), pp.85-97.

DOI: 10.1109/tmech.2006.886257

Google Scholar

[8] L. Yao, B. Gu, S. Haung, G. Wei and J. S. Dai: Mathematical modeling and simulation of the external and internal double circular-arc spiral bevel gears for the nutation drive. Journal of Mechanical Design Vol. 132 (2010), pp.0210081-02100810.

DOI: 10.1115/1.4001003

Google Scholar