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    Research on Full Closed-Loop Control of Suspended Four-Cable-Driven Parallel Mechanism With Multisource Sensor Fusion

    Source: Journal of Mechanisms and Robotics:;2026:;volume( 018 ):;issue:005::page 1082
    Author:
    Wen, Yuan-hang
    ,
    Liang, Jia-le
    ,
    Song, Chun-tian
    ,
    Fang, Jie-fan
    ,
    Liang, Jie-jun
    ,
    Liang, De-yu
    ,
    Mo, Jia-si
    DOI: 10.1115/1.4071414
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. This study addresses the challenge of controlling an under-constrained, suspended four-cable-driven parallel mechanism (CDPM). The inherent geometrico-static problem introduces complex inverse kinematics and forces a trade-off between computational efficiency and control precision. To improve trajectory tracking accuracy, a novel fully closed-loop, real-time control strategy is proposed. First, for the configuration in which cables are attached to the four vertices of a rigid square moving platform, numerical iterative simulations were carried out in matlab r2021a. These simulations solved the inverse kinematics and revealed a functional relationship coupling the moving platform's translational and rotational motions. Next, a motion controller for the CDPM was designed and optimized. To avoid the high computational cost of numerical iterative methods—which is prohibitive for real-time closed-loop control—and to prevent pseudo-drag in the cables, the derived coupling function was innovatively applied as an empirical model. By integrating a 6-degree-of-freedom motion tracking system and tension sensors, a double closed-loop proportional–integral–differential (PID) control was successfully implemented. Experimental results show that the proposed control strategy achieves significantly higher stability, accuracy, and real-time performance compared with open-loop control. The average end-effector trajectory tracking error decreased from 2.2312 mm to 0.3465 mm, representing an 84.5% improvement in positioning accuracy. Moreover, the Fréchet distance, a measure of trajectory similarity, improved from 3.0952 to 0.9287, indicating a 70.0% performance enhancement. This research demonstrates that empirical model-based double closed-loop PID control offers an effective solution for the real-time control of complex CDPMs. It provides critical technical support for deploying CDPMs in high-precision industrial applications.
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      Research on Full Closed-Loop Control of Suspended Four-Cable-Driven Parallel Mechanism With Multisource Sensor Fusion

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4315330
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    contributor authorWen, Yuan-hang
    contributor authorLiang, Jia-le
    contributor authorSong, Chun-tian
    contributor authorFang, Jie-fan
    contributor authorLiang, Jie-jun
    contributor authorLiang, De-yu
    contributor authorMo, Jia-si
    date accessioned2026-08-23T07:36:04Z
    date available2026-08-23T07:36:04Z
    date copyright2026/05/01
    date issued2026
    identifier issn1942-4302
    identifier otherjmr-25-1503.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4315330
    description abstractAbstract. This study addresses the challenge of controlling an under-constrained, suspended four-cable-driven parallel mechanism (CDPM). The inherent geometrico-static problem introduces complex inverse kinematics and forces a trade-off between computational efficiency and control precision. To improve trajectory tracking accuracy, a novel fully closed-loop, real-time control strategy is proposed. First, for the configuration in which cables are attached to the four vertices of a rigid square moving platform, numerical iterative simulations were carried out in matlab r2021a. These simulations solved the inverse kinematics and revealed a functional relationship coupling the moving platform's translational and rotational motions. Next, a motion controller for the CDPM was designed and optimized. To avoid the high computational cost of numerical iterative methods—which is prohibitive for real-time closed-loop control—and to prevent pseudo-drag in the cables, the derived coupling function was innovatively applied as an empirical model. By integrating a 6-degree-of-freedom motion tracking system and tension sensors, a double closed-loop proportional–integral–differential (PID) control was successfully implemented. Experimental results show that the proposed control strategy achieves significantly higher stability, accuracy, and real-time performance compared with open-loop control. The average end-effector trajectory tracking error decreased from 2.2312 mm to 0.3465 mm, representing an 84.5% improvement in positioning accuracy. Moreover, the Fréchet distance, a measure of trajectory similarity, improved from 3.0952 to 0.9287, indicating a 70.0% performance enhancement. This research demonstrates that empirical model-based double closed-loop PID control offers an effective solution for the real-time control of complex CDPMs. It provides critical technical support for deploying CDPMs in high-precision industrial applications.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleResearch on Full Closed-Loop Control of Suspended Four-Cable-Driven Parallel Mechanism With Multisource Sensor Fusion
    typeJournal Paper
    journal volume18
    journal issue5
    journal titleJournal of Mechanisms and Robotics
    identifier doi10.1115/1.4071414
    journal fristpage1082
    journal lastpage1089
    page8
    treeJournal of Mechanisms and Robotics:;2026:;volume( 018 ):;issue:005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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