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Self-Balancing One-Wheel Bike: The Future of Urban Mobility


Authors : Harsh Mistry; Joshi Jaydeep; Bharat Dogra

Volume/Issue : Volume 11 - 2026, Issue 4 - April


Google Scholar : https://tinyurl.com/2p9uwm7m

Scribd : https://tinyurl.com/3uzn9mxk

DOI : https://doi.org/10.38124/ijisrt/26apr492

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : This paper presents the design and development of a self-balancing one-wheel bike as an innovative solution for compact and efficient personal transportation. The system is based on the principle of an inverted pendulum, where stability is achieved through continuous real-time adjustments. A combination of sensors, including a gyroscope and accelerometer, is used to detect the tilt angle and motion of the bike. These inputs are processed using a microcontroller that implements a closed-loop control algorithm, primarily based on PID control, to maintain balance. The motor dynamically adjusts torque to counteract disturbances and ensure rider stability. A prototype model is developed and tested under various operating conditions to evaluate performance. The results demonstrate effective balance control, quick response time, and energy efficiency. This study highlights the potential of single-wheel self-balancing systems for modern urban mobility. Future improvements focus on enhancing control strategies and safety features for practical deployment.

Keywords : Self-balancing system, One-Wheel Bike, Inverted Pendulum, PID Control, Dynamic Stabilization, Microcontroller, Sensor Fusion, Gyroscope and Accelerometer, Electric Mobility, Autonomous Control, Embedded Systems, Personal Transportation.

References :

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  2. A. R. Kare, D. Nimbolkar and V. Patil, “One Wheeled Self Balancing Bike,” Journal of Science & Technology, vol. 6, no. Special Issue 1, pp. 238–246, Aug. 2021, DOI: 10.46243/jst.2021.v6.i04.pp238‑246.
  3. C.‑N. Huang, “The Development of Self‑Balancing Controller for One‑Wheeled Vehicles,” Engineering, vol. 2, no. 4, pp. 212–219, Apr. 2010.
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  9. C. Dai, F. Li, Y. Bai, W. Guo, C. Zong and X. Gao, “Development of a coaxial self‑balancing robot based on sliding mode control,” in Proc. 2012 IEEE Int. Conf. Mechatronics and Automation (ICMA), Chengdu, China, Aug. 2012, pp. 1241–1246.
  10. J. Jamil, O. Jamil, M. Ayaz and K. Ahmad, “Modeling and control of a two‑wheeled self‑balancing robot,” in Proc. 2014 IEEE Int. Conf. Robotics and Emerging Allied Technol. Eng. (iCREATE), Islamabad, Pakistan, Oct. 2014, pp. 191–199.
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  12. “LQR+PID Control and Implementation of Two‑Wheeled Self‑Balancing Robot,” Appl. Mech. Mater., vol. 590, pp. 399–406, Jun. 2014.
  13.  (Optional) L. Bin Lau, N. Syazreen Ahmad and P. Goh, “Self‑balancing robot: modeling and comparative analysis between PID and linear quadratic regulator,” Int. J. Reconfigurable Embedded Syst., vol. 12, no. 3, pp. 351–359, Nov. 2023.

This paper presents the design and development of a self-balancing one-wheel bike as an innovative solution for compact and efficient personal transportation. The system is based on the principle of an inverted pendulum, where stability is achieved through continuous real-time adjustments. A combination of sensors, including a gyroscope and accelerometer, is used to detect the tilt angle and motion of the bike. These inputs are processed using a microcontroller that implements a closed-loop control algorithm, primarily based on PID control, to maintain balance. The motor dynamically adjusts torque to counteract disturbances and ensure rider stability. A prototype model is developed and tested under various operating conditions to evaluate performance. The results demonstrate effective balance control, quick response time, and energy efficiency. This study highlights the potential of single-wheel self-balancing systems for modern urban mobility. Future improvements focus on enhancing control strategies and safety features for practical deployment.

Keywords : Self-balancing system, One-Wheel Bike, Inverted Pendulum, PID Control, Dynamic Stabilization, Microcontroller, Sensor Fusion, Gyroscope and Accelerometer, Electric Mobility, Autonomous Control, Embedded Systems, Personal Transportation.

Paper Submission Last Date
30 - April - 2026

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