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 :
- P.‑L. Nguyen, V.‑D. H. Nguyen, M.‑P. Cu, M.‑Q. Nguyen, M.‑P. Trinh, D.‑M. Hoang, M.‑H. Pham and D.‑B. Hoang, “PID Controller for Balancing One‑Wheeled Self‑Balancing Robot,” Robotica & Management, vol. 27, no. 1, pp. 23–27, Jun. 2022.
- 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.
- C.‑N. Huang, “The Development of Self‑Balancing Controller for One‑Wheeled Vehicles,” Engineering, vol. 2, no. 4, pp. 212–219, Apr. 2010.
- S. Jung and S. S. Kim, “Control Experiment of a Wheel‑Driven Mobile Inverted Pendulum Using Neural Network,” IEEE Trans. Control Syst. Technol., vol. 16, no. 2, pp. 297–303, Mar. 2008.
- “Balancing control of a single‑wheel inverted pendulum system using air blowers: Evolution of Mechatronics capstone design,” Mechatronics, vol. 23, no. 8, pp. 926–932, Dec. 2013.
- R. P. M. Chan, K. A. Stol and C. R. Halkyard, “Review of modelling and control of two‑wheeled robots,” in Ann. Rev. Control, vol. 37, no. 1, pp. 89–103, 2013.
- X. Feng, S. Liu, Q. Yuan, J. Xiao and D. Zhao, “Research on wheel‑legged robot based on LQR and ADRC,” Sci. Rep., vol. 13, art. no. 15122, Sep. 2023.
- H.‑S. Sun and K.‑Y. Lum, “Design and control of a two‑wheel self‑balancing robot using the Arduino microcontroller board,” in Proc. 2013 IEEE Int. Conf. Control and Automation (ICCA), Singapore, May 2013, pp. 634–639.
- 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.
- 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.
- S. Han and J. Lee, “Balancing and Velocity Control of a Unicycle Robot Based on the Dynamic Model,” IEEE Trans. Ind. Electron., vol. 62, no. 1, pp. 405–413, Jan. 2015.
- “LQR+PID Control and Implementation of Two‑Wheeled Self‑Balancing Robot,” Appl. Mech. Mater., vol. 590, pp. 399–406, Jun. 2014.
- (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.