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Author:

Chen, Zhigang (Chen, Zhigang.) | Ruan, Xiaogang (Ruan, Xiaogang.) | Li, Yuan (Li, Yuan.)

Indexed by:

EI Scopus

Abstract:

Aiming at the problem of self-balancing control of a cubical robot, this paper makes a research on the dynamic modeling of the cubical robot balancing on its corner. Using the prototype of cubical robot we built as the research object, the dynamic model is derived with Lagrangian method on foundation of analysis of coordinate transformation relation of cubical robot. The correctness of the model is verified in theory by numerical simulation. The controller, designed based on reaction torque characteristic of inertia wheels, is used in balance control of the cubical robot. The effectiveness of the controller is verified again with the obtained expect effect. The dynamic model developed and controller can provide a base for further study of balance control of a cubical robot. © The Authors, published by EDP Sciences, 2017.

Keyword:

Dynamic models Controllers Dynamics Robots Balancing Lagrange multipliers

Author Community:

  • [ 1 ] [Chen, Zhigang]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Chen, Zhigang]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
  • [ 3 ] [Ruan, Xiaogang]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Ruan, Xiaogang]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
  • [ 5 ] [Li, Yuan]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Li, Yuan]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China

Reprint Author's Address:

  • [chen, zhigang]faculty of information technology, beijing university of technology, beijing; 100124, china;;[chen, zhigang]beijing key laboratory of computational intelligence and intelligent system, beijing; 100124, china

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Source :

ISSN: 2274-7214

Year: 2017

Volume: 139

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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