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    A New Index of Static Actuation Force Sensitivity of Mechanisms Based on Unified Forward Jacobian Matrix

    Source: Journal of Mechanisms and Robotics:;2020:;volume( 012 ):;issue: 006
    Author:
    Wang, Xu
    ,
    Guo, Weizhong
    ,
    Han, Youcheng
    DOI: 10.1115/1.4046976
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper proposes a novel performance index, which is called static actuation force sensitivity (SAFS), to investigate the response of the actuation forces when the amplitude of the suffered load of the end-effector has a change. Smaller SAFS can protect the actuations, and the load is mainly suffered by the structural constraints. This work starts with the construction of the unified forward Jacobian matrix of both serial and parallel mechanisms by screw theory. Then, with the forward Jacobian matrix, the inverse static equation is established. SAFS is thus introduced by the “partial differential” operation on the inverse static equation. SAFS is only related to the position of the whole mechanism and the direction of the suffered load, but not related to the detailed value of the amplitude of the load and the detailed value of the actuation forces; thus, SAFS can reveal the essence of static force capacities of the mechanisms. The example mechanism (namely, the 3revolute-prismatic-spherical (RPS) parallel mechanism) is used to illustrate the distribution of SAFS both over the workspace and at a certain pose. The analysis method of SAFS and the proposed index are expected to be applied to the pose optimization in the motion planning of the mechanisms to protect the actuations.
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      A New Index of Static Actuation Force Sensitivity of Mechanisms Based on Unified Forward Jacobian Matrix

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    contributor authorWang, Xu
    contributor authorGuo, Weizhong
    contributor authorHan, Youcheng
    date accessioned2022-02-04T14:10:59Z
    date available2022-02-04T14:10:59Z
    date copyright2020/05/11/
    date issued2020
    identifier issn1942-4302
    identifier otherjmr_12_6_061001.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4273134
    description abstractThis paper proposes a novel performance index, which is called static actuation force sensitivity (SAFS), to investigate the response of the actuation forces when the amplitude of the suffered load of the end-effector has a change. Smaller SAFS can protect the actuations, and the load is mainly suffered by the structural constraints. This work starts with the construction of the unified forward Jacobian matrix of both serial and parallel mechanisms by screw theory. Then, with the forward Jacobian matrix, the inverse static equation is established. SAFS is thus introduced by the “partial differential” operation on the inverse static equation. SAFS is only related to the position of the whole mechanism and the direction of the suffered load, but not related to the detailed value of the amplitude of the load and the detailed value of the actuation forces; thus, SAFS can reveal the essence of static force capacities of the mechanisms. The example mechanism (namely, the 3revolute-prismatic-spherical (RPS) parallel mechanism) is used to illustrate the distribution of SAFS both over the workspace and at a certain pose. The analysis method of SAFS and the proposed index are expected to be applied to the pose optimization in the motion planning of the mechanisms to protect the actuations.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA New Index of Static Actuation Force Sensitivity of Mechanisms Based on Unified Forward Jacobian Matrix
    typeJournal Paper
    journal volume12
    journal issue6
    journal titleJournal of Mechanisms and Robotics
    identifier doi10.1115/1.4046976
    page61001
    treeJournal of Mechanisms and Robotics:;2020:;volume( 012 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian