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A Robust Control Approach to Self-balancing Bicycles

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Advances in Engineering Research and Application (ICERA 2021)

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

  1. 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)

    Article  MathSciNet  Google Scholar 

  2. 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)

    Google Scholar 

  3. Turnwald, A., Liu, S.: A nonlinear bike model for purposes of controller and observer design. IFAC-PapersOnLine 51(2), 391–396 (2018)

    Article  Google Scholar 

  4. Umur Erd: Modelling, Validation and Control of an Autonomous Bicycle (2019)

    Google Scholar 

  5. 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)

    Google Scholar 

  6. 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)

    Google Scholar 

  7. 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)

    Google Scholar 

  8. Lam, P.Y., Sin, T.K.: Gyroscopic stabilization of a self-balancing robot bicycle. Int. J. Autom. Technol. 5(6), 916–923 (2011)

    Article  Google Scholar 

  9. 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)

    MathSciNet  MATH  Google Scholar 

  10. 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)

    Google Scholar 

  11. 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

    Article  Google Scholar 

  12. 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)

    Google Scholar 

  13. 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)

    Google Scholar 

  14. 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)

    Article  Google Scholar 

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Acknowledgement

This research is funded by Hanoi University of Science and Technology (HUST) under project number T2021-PC-001.

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Correspondence to Tung Lam Nguyen .

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-92573-4

  • Online ISBN: 978-3-030-92574-1

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