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作者:

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

摘要:

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.

关键词:

Agricultural robots Balancing Dynamic models Lagrange multipliers Robotics Robots

作者机构:

  • [ 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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年份: 2017

卷: 2017-December

页码: 11-15

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 4

ESI高被引论文在榜: 0 展开所有

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