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contributor authorQian, Sen
contributor authorBao, Kunlong
contributor authorZi, Bin
contributor authorZhu, W. D.
date accessioned2022-02-04T14:17:41Z
date available2022-02-04T14:17:41Z
date copyright2020/02/14/
date issued2020
identifier issn1050-0472
identifier othermd_142_7_073301.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4273368
description abstractThis paper presents a new trajectory planning method based on the improved quintic B-splines curves for a three degrees-of-freedom (3-DOF) cable-driven parallel robot (CDPR). First, the conditions of positive cables’ tension are expressed in terms of the position and acceleration constraints of the end-effector. Then, an improved B-spline curve is introduced, which is employed for generating a pick-and-place path by interpolating a set of given via-points. Meanwhile, by expressing the position and acceleration of the end-effector in terms of the first and second derivatives of the improved B-spline, the cable tension constraints are described in the form of B-spline parameters. According to the properties of the defined pick-and-place path, the proposed motion profile is dominated by two factors: the time taken for the end-effector to pass through all the via-points and the ratio between the nodes of B-spline. The two factors are determined through multi-objective optimization based on the efficiency coefficient method. Finally, experimental results on a 3-DOF CDPR show that the improved B-spline exhibits overall superior behavior in terms of velocity, acceleration, and cables force compared with the traditional B-spline. The validity of the proposed trajectory planning method is proved through the experiments.
publisherThe American Society of Mechanical Engineers (ASME)
titleDynamic Trajectory Planning for a Three Degrees-of-Freedom Cable-Driven Parallel Robot Using Quintic B-Splines
typeJournal Paper
journal volume142
journal issue7
journal titleJournal of Mechanical Design
identifier doi10.1115/1.4045723
page73301
treeJournal of Mechanical Design:;2020:;volume( 142 ):;issue: 007
contenttypeFulltext


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