Control of a longitudinally extended two-wheeled inverted pendulum robot with a sliding mechanism

Abstract This paper proposes a balance control strategy for the longitudinally extended two-wheeled inverted pendulum robot (LE-TWIPR), which integrates wheel control with a sliding mechanism. By compensating for continuous center of mass shifts caused by disturbances and unbalanced payloads, the proposed method achieves stable control even under continuous external force conditions. The controller combines model predictive control with a disturbance observer that estimates external forces acting on the system in real time. Distance sensors mounted at the front and rear of the robot are used to estimate the slope angle, enabling collision avoidance on inclined surfaces. Based on the estimated external force and slope angle, slider compensation references are generated to maintain dynamic stability. Experimental results demonstrate that the LE-TWIPR can maintain balance and travel at a maximum speed of 1.5m/s under unbalanced payload conditions, and successfully traverse an $8^\circ$ slope. These findings validate the effectiveness and real-time capability of the proposed control approach.

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Publication Details

Journal
Journal of Computational Design and Engineering
Published
2025-09-25
DOI
https://doi.org/10.1093/jcde/qwaf098
Citations
1
Primary Topic
Control and Dynamics of Mobile Robots
Type
article
Field-Weighted Citation Impact
1.21
Controls
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article

Control of a longitudinally extended two-wheeled inverted pendulum robot with a sliding mechanism

David Kim, Dongil Choi
1 citations
Journal of Computational Design and Engineering
Control and Dynamics of Mobile Robots
1.21
article

Control of a longitudinally extended two-wheeled inverted pendulum robot with a sliding mechanism

David Kim, Dongil Choi
article en
1 citations

Abstract

Abstract This paper proposes a balance control strategy for the longitudinally extended two-wheeled inverted pendulum robot (LE-TWIPR), which integrates wheel control with a sliding mechanism. By compensating for continuous center of mass shifts caused by disturbances and unbalanced payloads, the proposed method achieves stable control even under continuous external force conditions. The controller combines model predictive control with a disturbance observer that estimates external forces acting on the system in real time. Distance sensors mounted at the front and rear of the robot are used to estimate the slope angle, enabling collision avoidance on inclined surfaces. Based on the estimated external force and slope angle, slider compensation references are generated to maintain dynamic stability. Experimental results demonstrate that the LE-TWIPR can maintain balance and travel at a maximum speed of 1.5m/s under unbalanced payload conditions, and successfully traverse an $8^\circ$ slope. These findings validate the effectiveness and real-time capability of the proposed control approach.

Journal of Computational Design and EngineeringVol. 12(10)
Myongji University (KR)
Openalex Percentile: Top 16%
Control and Dynamics of Mobile Robots
1.21
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Control of a longitudinally extended two-wheeled inverted pendulum robot with a sliding mechanism — David Kim, Dongil Choi · Journal of Computational Design and Engineering (2025) | TGRS Research Map | TGRS