Advanced trajectory tracking control for wheeled mobile robots under actuator faults and slippage

Trajectory tracking control for wheeled mobile robots (WMRs) faces significant challenges in real-world applications due to actuator faults, longitudinal and lateral slippage. This study proposes an innovative dual-loop control structure combining adaptive sliding mode control (ASMC) and backstepping control (BC), supported by robust fault observers, to address these challenges. The dynamic loop employs ASMC to handle model uncertainties and disturbances, while the kinematic loop integrates BC with fault information provided by the observers, enabling real-time error compensation. Simulation results show that the proposed method significantly reduces tracking errors and improves stabilization time compared to traditional SMC and ASMC controllers. The system exhibits enhanced fault tolerance and disturbance rejection, maintaining stability under both normal and faulty conditions. The effectiveness of this approach is demonstrated through simulations and theoretical analysis, ensuring system stability using Lyapunov stability theory. The proposed method enhances robustness, adaptability, and stability of WMRs, contributing significantly to the field of mobile robotics under adverse conditions.

Authors

Publication Details

Journal
Bulletin of Electrical Engineering and Informatics
Published
2025-05-02
DOI
https://doi.org/10.11591/eei.v14i3.9047
Citations
3
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
3.83
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced trajectory tracking control for wheeled mobile robots under actuator faults and slippage

Dinh Tu Duong, Van Du Phan, Sy Phuong Ho, D. Tran et al.
3 citations
Bulletin of Electrical Engineering and Informatics
Robotic Path Planning Algorithms
3.83
article

Advanced trajectory tracking control for wheeled mobile robots under actuator faults and slippage

Dinh Tu Duong, Van Du Phan, Sy Phuong Ho, D. Tran, Nguyen Tien Dung Cao
article en
3 citations

Abstract

Trajectory tracking control for wheeled mobile robots (WMRs) faces significant challenges in real-world applications due to actuator faults, longitudinal and lateral slippage. This study proposes an innovative dual-loop control structure combining adaptive sliding mode control (ASMC) and backstepping control (BC), supported by robust fault observers, to address these challenges. The dynamic loop employs ASMC to handle model uncertainties and disturbances, while the kinematic loop integrates BC with fault information provided by the observers, enabling real-time error compensation. Simulation results show that the proposed method significantly reduces tracking errors and improves stabilization time compared to traditional SMC and ASMC controllers. The system exhibits enhanced fault tolerance and disturbance rejection, maintaining stability under both normal and faulty conditions. The effectiveness of this approach is demonstrated through simulations and theoretical analysis, ensuring system stability using Lyapunov stability theory. The proposed method enhances robustness, adaptability, and stability of WMRs, contributing significantly to the field of mobile robotics under adverse conditions.

Bulletin of Electrical Engineering and InformaticsVol. 14(3)
Openalex Percentile: Top 7%
Robotic Path Planning Algorithms
3.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Advanced trajectory tracking control for wheeled mobile robots under actuator faults and slippage — Dinh Tu Duong, Van Du Phan, et al. · Bulletin of Electrical Engineering and Informatics (2025) | TGRS Research Map | TGRS