Adaptive Task Space Nonsingular Terminal Super-Twisting Sliding Mode Control of a 7-DOF Robotic Manipulator

This article presents a new task-space nonsingular terminal super-twisting sliding mode (NT-STSM) controller with adaptive gains for robust trajectory tracking of a seven-degree-of-freedom (7-DOF) robotic manipulator. The proposed approach addresses the challenges of chattering, unknown disturbances, and rotational motion tracking, making it suited for high-DOF manipulators in dexterous manipulation tasks. A rigorous boundedness proof is provided, offering gain selection guidelines for practical implementation. Simulations and hardware experiments with external disturbances demonstrate the proposed controller’s robust, accurate tracking with reduced control effort under unknown disturbances compared to other NT-STSM and conventional controllers. The results demonstrated that the proposed NT-STSM controller mitigates chattering and instability in complex motions, making it a viable solution for dexterous robotic manipulations and various industrial applications.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industrial Electronics
Published
2025-09-16
DOI
https://doi.org/10.1109/tie.2025.3600520
Citations
1
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adaptive Task Space Nonsingular Terminal Super-Twisting Sliding Mode Control of a 7-DOF Robotic Manipulator

Emmanuel Witrant, Lucas Wan, Sean Smith, Ya‐Jun Pan
1 citations
IEEE Transactions on Industrial Electronics
Iterative Learning Control Systems
1.21
article

Adaptive Task Space Nonsingular Terminal Super-Twisting Sliding Mode Control of a 7-DOF Robotic Manipulator

Emmanuel Witrant, Lucas Wan, Sean Smith, Ya‐Jun Pan
article en
1 citations

Abstract

This article presents a new task-space nonsingular terminal super-twisting sliding mode (NT-STSM) controller with adaptive gains for robust trajectory tracking of a seven-degree-of-freedom (7-DOF) robotic manipulator. The proposed approach addresses the challenges of chattering, unknown disturbances, and rotational motion tracking, making it suited for high-DOF manipulators in dexterous manipulation tasks. A rigorous boundedness proof is provided, offering gain selection guidelines for practical implementation. Simulations and hardware experiments with external disturbances demonstrate the proposed controller’s robust, accurate tracking with reduced control effort under unknown disturbances compared to other NT-STSM and conventional controllers. The results demonstrated that the proposed NT-STSM controller mitigates chattering and instability in complex motions, making it a viable solution for dexterous robotic manipulations and various industrial applications.

IEEE Transactions on Industrial ElectronicsVol. 73(1)
Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), Dalhousie University (CA), GIPSA-Lab (FR), Université Grenoble Alpes (FR)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 17%
Iterative Learning Control Systems
1.21
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.

Adaptive Task Space Nonsingular Terminal Super-Twisting Sliding Mode Control of a 7-DOF Robotic Manipulator — Emmanuel Witrant, Lucas Wan, et al. · IEEE Transactions on Industrial Electronics (2025) | TGRS Research Map | TGRS