Coordinated Adaptive Impedance Control of Redundantly Actuated Parallel Manipulators

Redundantly actuated parallel mechanisms (RAPMs) have been widely adopted in advanced robotic systems and precision machine tools. It has been demonstrated that redundant actuation can improve the performance of mechatronic systems but introduce challenges with respect to control. One main difficulty is in establishing an accurate dynamic model of the RAPM system. With an inaccurate dynamic model, the torque applied by the actuators will be incorrect, leading to increased antagonistic forces in the system. To solve this problem, a novel coordinated adaptive impedance control approach based on a new adaptive impedance control law is presented here, along with proof of the stability of the closed-loop system. The control algorithm has been validated experimentally by a prototype cable-driven parallel manipulator. It can be seen from the experimental results that the proposed control method is an effective way to correct the antagonistic forces of the system, thus facilitating the improvement of its dynamic performance and its efficacy in different applications.

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Publication Details

Journal
IEEE Transactions on Human-Machine Systems
Published
2025-04-18
DOI
https://doi.org/10.1109/thms.2025.3550919
Citations
2
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
2.43

Funders

Controls
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article

Coordinated Adaptive Impedance Control of Redundantly Actuated Parallel Manipulators

David Cheneler, Junjie Yuan, Gui‐Bin Bian, Nan Ma et al.
2 citations
IEEE Transactions on Human-Machine Systems
Iterative Learning Control Systems
2.43
article

Coordinated Adaptive Impedance Control of Redundantly Actuated Parallel Manipulators

David Cheneler, Junjie Yuan, Gui‐Bin Bian, Nan Ma, Guangping He
article en
2 citations

Abstract

Redundantly actuated parallel mechanisms (RAPMs) have been widely adopted in advanced robotic systems and precision machine tools. It has been demonstrated that redundant actuation can improve the performance of mechatronic systems but introduce challenges with respect to control. One main difficulty is in establishing an accurate dynamic model of the RAPM system. With an inaccurate dynamic model, the torque applied by the actuators will be incorrect, leading to increased antagonistic forces in the system. To solve this problem, a novel coordinated adaptive impedance control approach based on a new adaptive impedance control law is presented here, along with proof of the stability of the closed-loop system. The control algorithm has been validated experimentally by a prototype cable-driven parallel manipulator. It can be seen from the experimental results that the proposed control method is an effective way to correct the antagonistic forces of the system, thus facilitating the improvement of its dynamic performance and its efficacy in different applications.

IEEE Transactions on Human-Machine SystemsVol. 55(3)
North China University of Technology (CN), Northwestern Polytechnical University (CN), Shandong Institute of Automation (CN), Lancaster University (GB)
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 12%
Iterative Learning Control Systems
2.43
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Coordinated Adaptive Impedance Control of Redundantly Actuated Parallel Manipulators — David Cheneler, Junjie Yuan, et al. · IEEE Transactions on Human-Machine Systems (2025) | TGRS Research Map | TGRS