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    Type Synthesis of Parallel Mechanisms With a Constant Jacobian Matrix

    Source: Journal of Mechanisms and Robotics:;2018:;volume( 010 ):;issue: 006::page 61011
    Author:
    Zhao, Yanzhi
    ,
    Cao, Yachao
    ,
    Kong, Xianwen
    ,
    Zhao, Tieshi
    DOI: 10.1115/1.4040962
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Jacobian matrix plays a key role in the analysis, design, and control of robots. For example, it can be used for the performance analysis and evaluation of parallel mechanisms (PMs). However, the Jacobian matrix of a PM generally varies with the poses of the moving platform in the workspace. This leads to a nonconstant performance index of the PM. PMs with a constant Jacobian matrix have simple kinematics and are easy to design and control. This paper proposes a method for obtaining PMs with a constant Jacobian matrix. First, the criteria for detecting invariance of a Jacobian matrix are obtained based on the screw theory. An approach to the synthesis of PMs with a constant Jacobian matrix is then proposed. Using this approach, PMs with a constant Jacobian matrix are synthesized in two steps: the limb design and the combination of the limbs. Several PMs with a constant Jacobian matrix are obtained. In addition to the translational parallel mechanisms (TPMs) with a constant Jacobian matrix in the literature, the mixed-motion PMs whose moving platform can both translate and rotate with a constant Jacobian matrix are newly identified. The input/output velocity analysis of several PMs is presented to verify that Jacobian matrix of these PMs is constant.
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      Type Synthesis of Parallel Mechanisms With a Constant Jacobian Matrix

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4252433
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    contributor authorZhao, Yanzhi
    contributor authorCao, Yachao
    contributor authorKong, Xianwen
    contributor authorZhao, Tieshi
    date accessioned2019-02-28T11:04:42Z
    date available2019-02-28T11:04:42Z
    date copyright9/25/2018 12:00:00 AM
    date issued2018
    identifier issn1942-4302
    identifier otherjmr_010_06_061011.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4252433
    description abstractJacobian matrix plays a key role in the analysis, design, and control of robots. For example, it can be used for the performance analysis and evaluation of parallel mechanisms (PMs). However, the Jacobian matrix of a PM generally varies with the poses of the moving platform in the workspace. This leads to a nonconstant performance index of the PM. PMs with a constant Jacobian matrix have simple kinematics and are easy to design and control. This paper proposes a method for obtaining PMs with a constant Jacobian matrix. First, the criteria for detecting invariance of a Jacobian matrix are obtained based on the screw theory. An approach to the synthesis of PMs with a constant Jacobian matrix is then proposed. Using this approach, PMs with a constant Jacobian matrix are synthesized in two steps: the limb design and the combination of the limbs. Several PMs with a constant Jacobian matrix are obtained. In addition to the translational parallel mechanisms (TPMs) with a constant Jacobian matrix in the literature, the mixed-motion PMs whose moving platform can both translate and rotate with a constant Jacobian matrix are newly identified. The input/output velocity analysis of several PMs is presented to verify that Jacobian matrix of these PMs is constant.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleType Synthesis of Parallel Mechanisms With a Constant Jacobian Matrix
    typeJournal Paper
    journal volume10
    journal issue6
    journal titleJournal of Mechanisms and Robotics
    identifier doi10.1115/1.4040962
    journal fristpage61011
    journal lastpage061011-10
    treeJournal of Mechanisms and Robotics:;2018:;volume( 010 ):;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