One-wheeled balance bike design based on LQR control algorithm

Abstract As an important research object in the field of balance control, the one-wheeled balance scooter is highly nonlinear and unstable, and this study proposes a scheme based on the Lagrange model with the LQR control algorithm. The decoupling of roll-yaw axis dynamics is achieved by momentum wheel structure equivalence, and the state weight matrix is optimized so that the system can be quickly corrected under a 10° initial offset. The physical verification is based on the chip platforms of Infineon and ST, and the response speed and recovery ability of the system under external perturbation are tested.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-08-01
DOI
https://doi.org/10.1088/1742-6596/3079/1/012059
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
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article

One-wheeled balance bike design based on LQR control algorithm

Xingyuan Wang, Xiaoxin Zhang
Journal of Physics Conference Series
Wireless Sensor Networks and IoT
article

One-wheeled balance bike design based on LQR control algorithm

Xingyuan Wang, Xiaoxin Zhang
article en

Abstract

Abstract As an important research object in the field of balance control, the one-wheeled balance scooter is highly nonlinear and unstable, and this study proposes a scheme based on the Lagrange model with the LQR control algorithm. The decoupling of roll-yaw axis dynamics is achieved by momentum wheel structure equivalence, and the state weight matrix is optimized so that the system can be quickly corrected under a 10° initial offset. The physical verification is based on the chip platforms of Infineon and ST, and the response speed and recovery ability of the system under external perturbation are tested.

Journal of Physics Conference SeriesVol. 3079(1)
Liaoning University (CN), Shenyang Aerospace University (CN), Shenyang University (CN)
Openalex Percentile: Top 76%
Wireless Sensor Networks and IoT
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