Abstract
The paper presents a robust control approach to self-balancing bikes (SBB) against unknown system parameters and external disturbances. The system is mechanically balanced by the momentum force produced by a flywheel. Initially, sliding mode control is employed for balancing the bike in roll motion and steering. Based on the designed control, a high-gain observer is developed to estimate the bike roll inertia momentum which is difficult to derive in practice. The stability of the overall system including estimated inertia momentum is given. Comprehensive simulations are performed to demonstrate the proposed control.
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References
Astrom, K.J., Klein, R.E., Lennartsson, A.: Bicycle dynamics and control: adapted bicycles for education and research. IEEE Control Syst. 25(4), 26–47 (2005)
Tamaldin, N., Yusof, H.I.M., Abdollah, M.F.B., Omar, G., Rosley, M.I.F.: Design self-balancing bicycle. In: Proceedings of Mechanical Engineering Research Day 2017 (Merd), (May). pp. 160–161 (2017)
Turnwald, A., Liu, S.: A nonlinear bike model for purposes of controller and observer design. IFAC-PapersOnLine 51(2), 391–396 (2018)
Umur Erd: Modelling, Validation and Control of an Autonomous Bicycle (2019)
Shafiekhani, A., Mahjoob, M.J., Akraminia, M.: Design and implementation of an adaptive critic-based neuro-fuzzy controller on an unmanned bicycle. Mechatronics 28, 115–123 (2015)
Deng, W., Moore, S., Bush, J., Mabey, M., Zhang, W.: Towards automated bicycles: achieving self-balance using steering control. ASME 2018 Dynamic Systems and Control Conference, vol. 2, pp. 1–9. DSCC 2018 (2018)
Aphiratsakun, N., Techakittiroj, K.: Autonomous AU bicycle: self balancing and tracking control (AUSB 2). In: 2013 IEEE International Conference on Robotics and Biomimetics. ROBIO 2013, (December), pp. 480–485 (2013)
Lam, P.Y., Sin, T.K.: Gyroscopic stabilization of a self-balancing robot bicycle. Int. J. Autom. Technol. 5(6), 916–923 (2011)
Kanjanawanishkul, K.: LQR and MPC controller design and comparison for a stationary self-balancing bicycle robot with a reaction wheel. Kybernetika 54(1), 173–191 (2015)
Guo, L., Liao, Q., Wei, S., Huang, Y.: A kind of bicycle robot dynamic modeling and nonlinear control. In: 2010 IEEE International Conference on Information and Automation. ICIA 2010, pp. 1613–1617 (2010)
Park, S.-H., Yi, S.-Y.: Active balancing control for unmanned bicycle using scissored-pair control moment gyroscope. Int. J. Control Autom. Syst. 18(1), 217–224 (2019). https://doi.org/10.1007/s12555-018-0749-7
Cui, L., Wang, S., Lai, J., Chen, X., Yang, S., Zhang, Z., Jiang, Z.P.: Nonlinear balance control of an unmanned bicycle: Design and experiments. In: IEEE International Conference on Intelligent Robots and Systems. pp. 7279–7284 (2020)
Yeh, T.J., Lu, H.T., Tseng, P.H.: Balancing control of a self-driving bicycle. In: ICINCO 2019 – Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics, vol. 2(Icinco), pp. 34–41 (2019)
Shafiei, M.H., Emami, M.: Design of a robust path tracking controller for an unmanned bicycle with guaranteed stability of roll dynamics. Syst. Sci. Control Eng. 7(1), 12–19 (2019)
Acknowledgement
This research is funded by Hanoi University of Science and Technology (HUST) under project number T2021-PC-001.
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Van, C.N. et al. (2022). A Robust Control Approach to Self-balancing Bicycles. In: Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H., Sattler, KU. (eds) Advances in Engineering Research and Application. ICERA 2021. Lecture Notes in Networks and Systems, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-030-92574-1_1
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DOI: https://doi.org/10.1007/978-3-030-92574-1_1
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