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dc.contributor.authorWang, Xu
dc.contributor.authorGuo, Weizhong
dc.contributor.authorHan, Youcheng
dc.date.accessioned2022-02-04T14:10:59Z
dc.date.available2022-02-04T14:10:59Z
dc.date.copyright2020/05/11/
dc.date.issued2020
dc.identifier.issn1942-4302
dc.identifier.otherjmr_12_6_061001.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4273134
dc.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.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleA New Index of Static Actuation Force Sensitivity of Mechanisms Based on Unified Forward Jacobian Matrix
dc.typeJournal Paper
dc.journal.volume12
dc.journal.issue6
dc.journal.titleJournal of Mechanisms and Robotics
dc.identifier.doi10.1115/1.4046976
dc.page61001
dc.treeJournal of Mechanisms and Robotics:;2020:;volume( 012 ):;issue: 006
dc.contenttypeFulltext


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