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Disturbance Observer-Based Robust Control for Redundant Manipulators Towards Conditional Monitoring
Ma, Tie Nan1; Xi, Rui Dong2; Liang, Wei Xiang1; Yang, Zhi Xin1; Ma, Tie Nan3; Xi, Rui Dong4; Liang, Wei Xiang3; Yang, Zhi Xin3
2024
Conference NameInternational Conference on Biomimetic Intelligence and Robotics & Medical Robotics Forum, ICBIR+MRF 2024
Source PublicationProcedia Computer Science
Volume250
IssueC
Pages157-163
Conference Date9 October 2023through 14 October 2023
Conference PlaceLinzhi, Xizang
PublisherElsevier B.V.
Abstract

Conditional monitoring is crucial for preserving the functionality and longevity of electro-mechanical equipment. The adoption of robots is an effective method for improving the traditional approaches that rely on fixed monitoring sites. Therefore, this work investigates the motion control of a redundant robot manipulator in operational space for the application of conditional monitoring. A simple and efficient kinematic tracking differentiator (KTD) is proposed to convert operational space trajectories into joint space tracking. Redundancy is handled using a null space vector with time delay method. Additionally, a fixed-time terminal sliding mode controller (FxTSMC) is designed with a disturbance observer to improve fast convergence and disturbance rejection ability. Simulation results have been demonstrated to show the effectiveness of the proposed control scheme.

KeywordFixed-time Terminal Sliding Mode Control Kinematic Tracking Differentiator Redundant Robot Manipulator
DOI10.1016/j.procs.2024.11.040
URLView the original
Language英語English
Scopus ID2-s2.0-85213363477
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Affiliation1.Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Taipa, 999078, Macao
2.Shenzhen Key Laboratory of Robotics Perception and Intelligence, The Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
3.Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Taipa, 999078, Macao
4.Shenzhen Key Laboratory of Robotics Perception and Intelligence, The Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Ma, Tie Nan,Xi, Rui Dong,Liang, Wei Xiang,et al. Disturbance Observer-Based Robust Control for Redundant Manipulators Towards Conditional Monitoring[C]:Elsevier B.V., 2024, 157-163.
APA Ma, Tie Nan., Xi, Rui Dong., Liang, Wei Xiang., Yang, Zhi Xin., Ma, Tie Nan., Xi, Rui Dong., Liang, Wei Xiang., & Yang, Zhi Xin (2024). Disturbance Observer-Based Robust Control for Redundant Manipulators Towards Conditional Monitoring. Procedia Computer Science, 250(C), 157-163.
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