Evidence map›Paper›PMID 41062574›Full record

ArticleScientific reports2025

Modeling and compensation control of a single tendon-sheath actuated system with time-varying parameters.

Mingxing Yang, Qi Wang, Hongliang Wang, Tao Zhou, Xing Zhang

Abstract read
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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mingxing YangDepartment of Spinal Orthopaedics, Maanshan People's Hospital, Ma'anshan, 243000, Anhui, China.
Qi WangSchool of Mechanical Engineering, Anhui University of Technology, Ma'anshan, 243002, Anhui, China.
Hongliang WangDepartment of Spinal Orthopaedics, Maanshan People's Hospital, Ma'anshan, 243000, Anhui, China.
Tao ZhouDepartment of Spinal Orthopaedics, Maanshan People's Hospital, Ma'anshan, 243000, Anhui, China. zty7621@163.com.
Xing ZhangDepartment of Spinal Orthopaedics, Maanshan People's Hospital, Ma'anshan, 243000, Anhui, China. xing-zhang@foxmail.com.

Funding

Nation Nature Science Foundation of China 52005006the Natural Science Foundation of the Anhui Higher Education Institutions of China 2022AH050289the Natural Science Foundation of the Anhui Higher Education Institutions of China 2024AH050160the Open Project of Anhui Engineering Research Center on Information Fusion and Control of Intelligent Robot IFCIR2024012the Postdoctoral Research Fundation of Anhui Province 2023B741
6 · The paper itself

Abstract

The tendon-sheath actuated system (TSAS) has been widely adopted in many cases due to its merits of compliance, dexterity, and remote transmission. However, realizing precise control of the distal end poses remains a significant challenge due to inherent nonlinear phenomena caused by friction and hysteresis. In this study, a novel adaptive sliding mode compensation control (ASMCC) scheme based on the inverse transmission model was proposed to achieve accurate trajectory tracking of the TSAS. Based on the Coulomb friction model, the static and dynamic models of TSAS were analyzed and the correctness of system's output displacement and output force characteristics was confirmed through simulation and experimental results. Based on the assumptions of the constant curvature of the sheath and the pre-tensioned tendon, the inverse model was calibrated by offline measurements with sensors installed at the proximal end. A novel control strategy was developed based on the inverse model combined with an adaptive algorithm according to Lyapunov stability theory with sliding mode controller for the online estimation of time-varying parameters. Finally, trajectory tracking experiments were conducted with/without external springs to evaluate the feasibility of the proposed control strategy, and its effectiveness and accuracy in parameter identification and accuracy compensation for the single tendon-sheath actuated system was confirmed.

Identifiers

PMID41062574
PMCPMC12508147

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