Tracking control of robotic manipulator end-effector trajectory based on robust sliding mode method

This paper addresses the precise trajectory tracking of robotic manipulators (RMs) in automation tasks, particularly in hazardous environments. A dynamic model of the end-effector in Cartesian coordinates is developed to represent the system's motion within the workspace. A robust sliding mode control (SMC) law is proposed to enhance control performance, with a focus on ensuring stability and accuracy in trajectory tracking. The SMC law is designed by deriving the relationship between control inputs and joint torques. Numerical simulations demonstrate that the proposed control method achieves high accuracy in trajectory tracking, with significant reductions in tracking errors. The results quantitatively show improved performance in both path following and system robustness, making the method suitable for real-time industrial applications.

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Publication Details

Journal
PLoS ONE
Published
2025-04-15
DOI
https://doi.org/10.1371/journal.pone.0320118
Citations
4
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
4.86

Funders

Controls
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article

Tracking control of robotic manipulator end-effector trajectory based on robust sliding mode method

Beibei Su
4 citations
PLoS ONE
Iterative Learning Control Systems
4.86
article

Tracking control of robotic manipulator end-effector trajectory based on robust sliding mode method

Beibei Su
article en
4 citations

Abstract

This paper addresses the precise trajectory tracking of robotic manipulators (RMs) in automation tasks, particularly in hazardous environments. A dynamic model of the end-effector in Cartesian coordinates is developed to represent the system's motion within the workspace. A robust sliding mode control (SMC) law is proposed to enhance control performance, with a focus on ensuring stability and accuracy in trajectory tracking. The SMC law is designed by deriving the relationship between control inputs and joint torques. Numerical simulations demonstrate that the proposed control method achieves high accuracy in trajectory tracking, with significant reductions in tracking errors. The results quantitatively show improved performance in both path following and system robustness, making the method suitable for real-time industrial applications.

PLoS ONEVol. 20(4)
Wuxi Vocational Institute of Commerce (CN), Wuxi Vocational College of Science and Technology
Major Project of Philosophy and Social Science Research in Colleges and Universities of Jiangsu Province
Openalex Percentile: Top 5%
Iterative Learning Control Systems
4.86
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Tracking control of robotic manipulator end-effector trajectory based on robust sliding mode method — Beibei Su · PLoS ONE (2025) | TGRS Research Map | TGRS