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LQR Controller Design for Balancing and Driving Control of a Bicycle Robot

Seok‐Won Kang, Kyung-Il Park, Jang-Myung Lee

Year
2014
Citations
2
Access
Open access

Abstract

This paper proposes a balancing control and driving control of a bicycle robot based on dynamic modeling of the bicycle robot, which has been derived using the Lagrange equations. For the balancing control of the bicycle robot, a reaction wheel pendulum method has been adopted in this research. By using the dynamics equations of the bicycle robot, an LQR controller has been designed for a balancing and driving control of a bicycle robot. The performance of the balance control is verified experimentally before the driving control, which shows a stable posture within one degree vibrations. To show the dynamic characteristics of the bicycle robot during driving, a trapezoidal velocity trajectory is selected as the references. Through simulations and real experiments, the effectiveness of the proposed algorithm has been demonstrated.

Keywords

RobotControl theory (sociology)Controller (irrigation)Inverted pendulumTrajectoryRobot controlSimulationControl engineeringComputer scienceEngineering

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