Abstract
A single-wheel mobile robot has been developed for carrying a driver. Since a single-wheel mobile robot carries a human driver, the size and weight are larger compared with other sing-wheel mobile robots. To maximize the gyroscopic effects, Gyrocycle is designed to have two flywheels that need to be synchronized. In addition to the synchronization of two flywheels, Gyrocycle is tested for the robust balancing perfromance by unknown payloads. A neural network control method is used to control the balance. Experimental studies are conducted to verify the perfromance by the neural network controller.
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References
Grasser, F., Darrigo, A., Colombi, S., Rufer, A.: JOE: A mobile, inverted pendulum. IEEE Trans. on Industrial Electronics 49(1), 107–114 (2002)
Xu, Y., Au, K.W.: Stabilization and Path Following of a Single Wheel Robot. IEEE/ASME Transactions on Mechatronics 9(2), 407–419 (2004)
Lee, H.J., Jung, S.: Balancing and navigation control of a mobile inverted pendulum robot using sensor fusion of low cost sensors. Mechatronics 22(1), 95–105 (2012)
Lee, H.J., Jung, S.: Gyro sensor drift compensation by Kalman filter to control a mobile inverted pendulum robot system. In: IEEE International Conference on Industrial Technology, pp. 1026–1031 (2009)
Pathak, K., Franch, J., Agrawal, S.: Velocity and position control of a wheeled inverted pendulum by partial feedback linearization. IEEE Trans. on Robotics 21, 505–513 (2005)
Jeong, S.H.: Wheeled Inverted Pendulum Type Assistant Robot: Design Concept and Mobile Control. In: IEEE IROS, pp. 1932–1937 (2007)
Kim, P.K., Park, J.H., Jung, S.: Experimental Studies of Balancing Control for a Disc-Typed Mobile Robot Using a Neural Controller: GYROBO. In: Multi-Conference on Systems and Control, ISIC 2010, pp. 1499–1503 (2010)
Jung, S., Hsia, T.C.: Neural network Inverse Control Techniques for PD Controlled Robot Manipulator. ROBOTICA 19(3), 305–314 (2000)
Jung, S., Cho, H.T.: Decoupled Neural Network Reference Compensation Technique for a PD Controlled Two Degrees of Freedom Inverted Pendulum. International Journal of Control, Automation, and Systems Engineering 2(1), 92–99 (2004)
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Ha, M., Jung, S. (2014). Neural Network Control for the Balancing Performance of a Single-Wheel Transportation Vehicle: Gyrocycle. In: Kim, JH., Matson, E., Myung, H., Xu, P., Karray, F. (eds) Robot Intelligence Technology and Applications 2. Advances in Intelligent Systems and Computing, vol 274. Springer, Cham. https://doi.org/10.1007/978-3-319-05582-4_77
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DOI: https://doi.org/10.1007/978-3-319-05582-4_77
Publisher Name: Springer, Cham
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