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Author:

Chen, Zhigang (Chen, Zhigang.) | Ruan, Xiaogang (Ruan, Xiaogang.) | Li, Yuan (Li, Yuan.) | Bai, Yingliang (Bai, Yingliang.) | Zhu, Xiaoqing (Zhu, Xiaoqing.)

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EI Scopus

Abstract:

Aiming at the problem of self-balancing control of a cubical robot, this paper researched the dynamic modeling of the cubical robot balancing on its edge. Using the prototype of cubical robot built as the research subject, the dynamic model was derived with Lagrangian method and Kane method. The correctness of the model was verified in theory by comparison of the two methods. The controller, designed based on the mathematical model, was used in balance control of the physical cubical robot prototype. The correctness of the model was verified again with the obtained expect effect. This dynamic model developed can provide a base for further study of balance control of a cubical robot balancing on its corner. © 2017 IEEE.

Keyword:

Dynamic models Agricultural robots Robots Robotics Balancing Lagrange multipliers

Author Community:

  • [ 1 ] [Chen, Zhigang]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Chen, Zhigang]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China
  • [ 3 ] [Ruan, Xiaogang]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 4 ] [Ruan, Xiaogang]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China
  • [ 5 ] [Li, Yuan]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 6 ] [Li, Yuan]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China
  • [ 7 ] [Bai, Yingliang]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 8 ] [Bai, Yingliang]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China
  • [ 9 ] [Zhu, Xiaoqing]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 10 ] [Zhu, Xiaoqing]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China

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Year: 2017

Volume: 2017-December

Page: 11-15

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: 9

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