Abstract
We have been developing a single wheel, gyroscopically stabilized robot, initially at Carnegie Mellon University. It is a basically single wheel which connected to a spinning flywheel through a two-link manipulator at the wheel bearing. The nature of the system is nonholonomic, nonlinear and underactuated. In this paper, we first develop a dynamic model and decouple the model with respect to the control inputs. We then study the effect of the flywheel dynamics on stabilizing the single wheel robot through simulation and experimental study. Based on understanding of the robot dynamics, we design a linear state feedback controller for the lean angle of the robot. Finally, we discuss the possibility of transferring operator’s manual control directly via learning the mapping between data acquired from the manual control interface and the sensor data from the robot on-board sensors. The experimental results supported the method. The work is significant for understanding the highly coupled dynamics system, and is valuable for developing the automatic control for such a dynamically stabilized robot.
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References
A. V. Beznos, et al, “Control of autonomous motion of two-wheel bicycle with gyroscopic stabilization” Proc. IEEE Int. Conf. on Robotic and Automation, Vol.3, pp.2670–2675, 1998.
N. H. Getz, “Control of balance for a nonlinear nonholonomic non-minimum phase model of a bicycle” Proc. America Control Conference, Baltimore, pp.148–151, 1994.
H. B. Brown and Y. Xu, “A single wheel gyroscopically stabilized robot.” Proc. IEEE Int. Conf. on Robotic and Automation, Vol.4, pp.3658–63, 1996.
Y. Xu, K. W. Au, G. C. Nandy and H. B. Ben, ‘Analysis of actuation and the dynamic balancing for a single wheel robot’ Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Vol.4, pp.3658–63, 1998.
M.C. Nechyba and Y. Xu, “Cascade neural network with node-decoupled extended Kalman filtering”, Proc. IEEE Int. Symp. on Computational Intelligence in Robotics and Automation, Vol.1, pp.214–9, 1997.
M.C. Nechyba and Y. Xu, “Human control strategy: abstraction, verification and replication”, IEEE Control Systems Magazine, Vol.17, no.5, pp.48–61, 1997.
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© 2000 Springer-Verlag London Limited
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Xu, Y., Au, K.W., Yu, W.K. (2000). Control of a gyroscopically stabilized robot. In: Experimental Robotics VI. Lecture Notes in Control and Information Sciences, vol 250. Springer, London. https://doi.org/10.1007/BFb0119400
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DOI: https://doi.org/10.1007/BFb0119400
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Print ISBN: 978-1-85233-210-5
Online ISBN: 978-1-84628-541-7
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