Stewart Platform Model with Uncertain Parameters

Article Preview

Abstract:

The paper deals with development of uncertain dynamics model of a six DOF parallel mechanism (Stewart platform) suitable for H-infinity controller design. The model is based on linear state space models of the machine obtained by linearization of the SimMechanics model. The linearization is performed for two positions of the machine in its workspace. It is the nominal position and the position where each link of the machine reaches its maximal length. The uncertainties are then represented as differences between parameters of corresponding state-space matrices. The uncertain state space model is then obtained using upper linear fractional transformation. There are also mentioned several notes regarding H-infinity controller designed according to the obtained model.

You might also be interested in these eBooks

Info:

Periodical:

Solid State Phenomena (Volume 164)

Pages:

177-182

Citation:

Online since:

June 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2010 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] S.H. Lee, J.B. Song, W. C. Choi and D. Hong: Position control of a Stewart platform using inverse dynamics control with approximate dynamics. Mechatronics, Vol. 13(6) (2003), p.605619.

DOI: 10.1016/s0957-4158(02)00033-8

Google Scholar

[2] J. Wang, J. Wu, L. Wang and T. Li: Simplified strategy of the dynamic model of a 6-UPS parallel kinematic machine for real time control. Mechanism and machine theory, Vol. 42(9) (2007), pp.1119-1140.

DOI: 10.1016/j.mechmachtheory.2006.09.004

Google Scholar

[3] T. Brezina, L. Brezina: The device for implants testing: The control. Proceedings of the Engineering mechanics 2008, Svratka, (2008) pp.84-89.

Google Scholar

[4] L. Brezina, O. Andrs and T. Brezina: $I LabView - Matlab SimMechanics Stewart platform design. Applied and computational mechanics, Vol. 2 (1) (2008), pp.235-242.

Google Scholar

[5] D. -W. Gu, P. H. Petrov and M. M. Konstantinov: Robust Control Design with Matlab. Springer (2005).

Google Scholar

[6] Information on http: /www. mathworks. com.

Google Scholar