Dynamics Modeling of the Planar Double Inverted Pendulum

Article Preview

Abstract:

planar double inverted pendulum is a strong coupling, uncertain and complex nonlinear system, and the dynamics model of which is the basis of control, simulation and analysis. In the paper coordinate systems of the planar double inverted pendulum were first defined, and then the dynamics model of which was built up based on screw theory and the Lagrange principle. The modeling method used being systematic and standardized, it is easy to extend to dynamics modeling of higher order planar inverted pendulums or other multi-body systems.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

17-22

Citation:

Online since:

August 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Maeda K. Nonlinear Control System of Inverted Pendulum Based on Input-Output Linearization[D]. Binghamton University, (2006).

Google Scholar

[2] DUAN Xue-chao, CHOU Yuan-ying, DUAN Bao-yan. Adaptive sliding mode fuzzy control of planar inverted pendulum [J]. Control and Decision. 2007, 22(07): 774-777. (in Chinese).

Google Scholar

[3] LI Hong-xing. Four inverted pendulum variable universe adaptive fuzzy control. Science in China, Ser.E. 2002, 32(1): 65-75. (in Chinese).

Google Scholar

[4] FENG Yan-bin. Variable based on fuzzy inference modeling and adaptive fuzzy control of three planar inverted pendulum simulation and hardware implementation [D]. Beijing: Beijing Normal University, 2007. (in Chinese).

Google Scholar

[5] Murray R M, Li Z, Sastry S S, et al. A Mathematical Introduction to Robotic Manipulation[M]. Beijing: China Machine Press, 1998: 1-296.

Google Scholar

[6] Duan Xue-chao. Planar inverted pendulum modeling, control and experimental research[D]. Xi'an: Xi'an University of Electronic Science and Technology. 2006. (in Chinese) Appendix Parameter matrixes of the planar double inverted pendulum.

Google Scholar