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Author:

Peng, Kui (Peng, Kui.) | Ruan, Xiaogang (Ruan, Xiaogang.) | Zuo, Guoyu (Zuo, Guoyu.) (Scholars:左国玉)

Indexed by:

EI Scopus

Abstract:

This paper studies the balance control of two-wheeled self-balancing robot on the slope. The dynamic model was first established using Lagrange method, which was proved correct by the simulation results of its zero-state response and zero-input response. A set of balance equations were then obtained from the kinetic model, and the Lyapunov method was carried out to estimate its stability and controllability. Finally, the robot's linear model in the equilibrium position was obtained. The linear quadratic optimal regulator was designed to control its attitude and speed. The simulation results show that the two-wheeled self-balancing robot in the slope situations can keep balance without displacement. © 2012 IEEE.

Keyword:

Mobile robots Lyapunov methods Quadratic programming Dynamic models Intelligent control Equations of motion Lagrange multipliers

Author Community:

  • [ 1 ] [Peng, Kui]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Ruan, Xiaogang]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Zuo, Guoyu]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

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Source :

Year: 2012

Page: 3681-3685

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 20

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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