Trajectory tracking control for four-mecanum-wheeled robots considering mass eccentricity: A fuzzy adaptive and dynamic surface control approach

This paper presents a novel approach combining Fuzzy adaptive control with dynamic surface control to enhance trajectory tracking of four mecanum wheeled mobile robots considering mass eccentricity. Mass eccentricity, which refers to the displacement of the robot’s center of mass, poses significant challenges for precise control and stability. The proposed combined control strategy addresses these challenges by leveraging the adaptive capabilities of fuzzy logic and the robustness of dynamic surface control. Simulation results demonstrate that this approach significantly improves trajectory tracking accuracy and system stability

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Publication Details

Journal
Journal of Computer Science and Cybernetics
Published
2025-03-28
DOI
https://doi.org/10.15625/1813-9663/21537
Citations
1
Primary Topic
Control and Dynamics of Mobile Robots
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
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article

Trajectory tracking control for four-mecanum-wheeled robots considering mass eccentricity: A fuzzy adaptive and dynamic surface control approach

Phuong Nam Dao, Minh Son Nguyen, Ngô Mạnh Tiến, Do Quang Hiep
1 citations
Journal of Computer Science and Cybernetics
Control and Dynamics of Mobile Robots
1.21
article

Trajectory tracking control for four-mecanum-wheeled robots considering mass eccentricity: A fuzzy adaptive and dynamic surface control approach

Phuong Nam Dao, Minh Son Nguyen, Ngô Mạnh Tiến, Do Quang Hiep
article en
1 citations

Abstract

This paper presents a novel approach combining Fuzzy adaptive control with dynamic surface control to enhance trajectory tracking of four mecanum wheeled mobile robots considering mass eccentricity. Mass eccentricity, which refers to the displacement of the robot’s center of mass, poses significant challenges for precise control and stability. The proposed combined control strategy addresses these challenges by leveraging the adaptive capabilities of fuzzy logic and the robustness of dynamic surface control. Simulation results demonstrate that this approach significantly improves trajectory tracking accuracy and system stability

Journal of Computer Science and CyberneticsVol. 41(1)
Vietnam Academy of Science and Technology (VN), Hanoi University of Science and Technology (VN)
Vietnam Academy of Science and Technology
Openalex Percentile: Top 23%
Control and Dynamics of Mobile Robots
1.21
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