Dynamic surface control algorithm of flexible manipulator driven by position and velocity disturbance factors

Classic adaptive control systems for the dynamic surface of flexible manipulators suffer from insufficient convergence accuracy for the manipulator's link angular position parameters and rotor angular velocity parameters. To address this issue, a new dynamic surface control algorithm for flexible manipulators driven by position and velocity perturbation factors is proposed. Specifically, two linear factors, [Formula: see text], an offset factor, [Formula: see text], and two functional factors, [Formula: see text], are designed. By optimizing the virtual control law for dynamic surface control, the convergence accuracy of the position and velocity parameters is effectively improved. Compared with the virtual control law algorithm for classic flexible manipulators, the convergence accuracy of the link angular position parameters is improved from 84% to 98%, and the convergence accuracy of the rotor angular velocity parameters is improved from 90% to 98%, effectively enhancing the manipulator's stability.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-10-08
DOI
https://doi.org/10.1038/s41598-025-19011-9
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Dynamic surface control algorithm of flexible manipulator driven by position and velocity disturbance factors

Shixi Tang, Yaser A. Nanehkaran, Yu Wang, Hongyong Deng
Scientific Reports
Soft Robotics and Applications
article

Dynamic surface control algorithm of flexible manipulator driven by position and velocity disturbance factors

Shixi Tang, Yaser A. Nanehkaran, Yu Wang, Hongyong Deng
article en

Abstract

Classic adaptive control systems for the dynamic surface of flexible manipulators suffer from insufficient convergence accuracy for the manipulator's link angular position parameters and rotor angular velocity parameters. To address this issue, a new dynamic surface control algorithm for flexible manipulators driven by position and velocity perturbation factors is proposed. Specifically, two linear factors, [Formula: see text], an offset factor, [Formula: see text], and two functional factors, [Formula: see text], are designed. By optimizing the virtual control law for dynamic surface control, the convergence accuracy of the position and velocity parameters is effectively improved. Compared with the virtual control law algorithm for classic flexible manipulators, the convergence accuracy of the link angular position parameters is improved from 84% to 98%, and the convergence accuracy of the rotor angular velocity parameters is improved from 90% to 98%, effectively enhancing the manipulator's stability.

Scientific ReportsVol. 15(1)
Guizhou Minzu University (CN), Yancheng Teachers University (CN)
Government of Jiangsu Province, Jiangsu Agricultural Science and Technology Independent Innovation Fund
Openalex Percentile: Top 73%
Soft Robotics and Applications
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.

Dynamic surface control algorithm of flexible manipulator driven by position and velocity disturbance factors — Shixi Tang, Yaser A. Nanehkaran, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS