Trajectory tracking control for wheeled mobile robots subject to longitudinal slippage

Abstract The trajectory tracking control for wheeled mobile robots (WMRs) with unknown longitudinal slipping is studied in this paper. Firstly, the slipping ratios are introduced to describe the slippage and the kinematic model of WMRs is established, which takes the displacement between the center of mass of the WMR and the midpoint of the driving wheels axis into consideration. Then an adaptive control law is proposed based on a new Lyapunov function, and the asymptotic stability of the tracking error system is derived directly by the Barbalat's lemma. Finally, some numerical examples are given to show the advantages and effectiveness of the proposed method.

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Institutions

Publication Details

Journal
Asian Journal of Control
Published
2025-03-14
DOI
https://doi.org/10.1002/asjc.3608
Citations
2
Primary Topic
Control and Dynamics of Mobile Robots
Type
article
Field-Weighted Citation Impact
2.43

Funders

Controls
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article

Trajectory tracking control for wheeled mobile robots subject to longitudinal slippage

Jianning Li, Jianjun Bai, Yun Chen, Mengwei Ren
2 citations
Asian Journal of Control
Control and Dynamics of Mobile Robots
2.43
article

Trajectory tracking control for wheeled mobile robots subject to longitudinal slippage

Jianning Li, Jianjun Bai, Yun Chen, Mengwei Ren
article en
2 citations

Abstract

Abstract The trajectory tracking control for wheeled mobile robots (WMRs) with unknown longitudinal slipping is studied in this paper. Firstly, the slipping ratios are introduced to describe the slippage and the kinematic model of WMRs is established, which takes the displacement between the center of mass of the WMR and the midpoint of the driving wheels axis into consideration. Then an adaptive control law is proposed based on a new Lyapunov function, and the asymptotic stability of the tracking error system is derived directly by the Barbalat's lemma. Finally, some numerical examples are given to show the advantages and effectiveness of the proposed method.

Asian Journal of ControlVol. 27(5)
Hangzhou Dianzi University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 13%
Control and Dynamics of Mobile Robots
2.43
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