Volume 2: 34th Annual Mechanisms and Robotics Conference, Parts a and B 2010
DOI: 10.1115/detc2010-28405
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On the Static Workspace of Large Dimension Cable-Suspended Robots With Non Negligible Cable Mass

Abstract: In most studies on parallel cable-driven robots, cables are supposed to be massless and inextensible. However, in the case of large dimension robots, cable mass and elasticity cannot be neglected anymore. Based on a well-known cable static model which takes these characteristics into account, the formulation of the inverse kinematics of n cable/n-DOF cable-driven robots is presented. The consequences of this modeling on the usual static workspace definition is then discussed. Notably, as the tension in a cable… Show more

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Cited by 11 publications
(4 citation statements)
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“…Finally, note that this extension is relevant if the validity criteria of Eq. (12) or Eq. (13) is verified and if the cables can be considered inextensible.…”
Section: B Static Equilibrium Of the Platformmentioning
confidence: 98%
“…Finally, note that this extension is relevant if the validity criteria of Eq. (12) or Eq. (13) is verified and if the cables can be considered inextensible.…”
Section: B Static Equilibrium Of the Platformmentioning
confidence: 98%
“…The effects of the cable sags on the dynamics must be taken into account for large-span cables. 31,32 Therefore, a cable catenary model is first established. The local coordinate system ðA i À x s i z s i Þ in the vertical plane is established as shown in Figure 3.…”
Section: Catenary Modelmentioning
confidence: 99%
“…Numerous works have addressed the problem of workspace calculation of CDPR [1,2,3,4,5,6,8,10,12,17,20,22] but most of them assume non deformable and non elastic cables. Discretisation-based method has been proposed for elastic cables [11] and for a simplified sagging cable model [18]. But this approach requires to assume that the inverse kinematics problem has a single solution, which is not true for a complete sagging cable model [14].…”
Section: Introductionmentioning
confidence: 99%