Design of a LEGO NXT Two-Wheeled Self-Balanced Robot Based on Inverted Pendulum Model

Article Preview

Abstract:

Two-wheeled self-balanced robot based on the inverted pendulum model belongs to the category of the wheeled robots and it shares many characters with inverted pendulum, which are non-linear, strong coupling, multi-variable and parameter uncertainty. Because there are many methods to keep this unstable robot self-balanced, this kind of robot has become an ideal platform to verify various kinds of control theories. In this paper, the two-wheeled robot is built on LEGO NXT set and depends on the sensors like gyro, angle transducer to keep upright. The mathematic and kinetic model of the robot is established according to the Lagrangian Dynamics and state-space equation of the whole system is presented. At last, a kind of state feedback control with the state observer is set up to make the system closed and stable.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

737-742

Citation:

Online since:

July 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Y. Liu and F.Z. Dian, Applications of LEGO Mindstroms NXT in Basic Computer Education, Computer education, vol. 8, 2009, doi: 10. 3969/j. issn. 1672-5913. 2009. 08. 044.

Google Scholar

[2] W.H. Li, Research and Implementation of Chinese Firmware System of LEGO NXT Based on B/S, Value engineering, vol. 30, 2011, doi: 10. 3969/j. issn. 1006-4311. 2011. 10. 110.

Google Scholar

[3] R. C. Hibbeler, J.L. Wen andP.X. Wang. Engineering Machenics. Taipei, CHN: Princeton, (2010).

Google Scholar

[4] X.G. Ruan and H.G. Ren, Two-wheeled self-balancing mobile robot dynamic model and balancing control, Application reserch of computer, vol. 26, 2009, doi: 10. 3969/j. issn. 1001-3695. 2009. 01. 031.

Google Scholar

[5] X.P. Guan and Z.Q. Wu. Modern Control Theory. Beijing, CHN: Publishing House of Electronics Industry, (2012).

Google Scholar

[6] J.W. Wang. Control Theory and Control Engineering. Beijing, CHN: China Machine Press, (2010).

Google Scholar