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contributor authorHamid Reza Fahham
contributor authorMehrdad Farid
contributor authorMoosa Khooran
date accessioned2017-05-09T00:43:03Z
date available2017-05-09T00:43:03Z
date copyrightJanuary, 2011
date issued2011
identifier issn0022-0434
identifier otherJDSMAA-26541#011004_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/145743
description abstractIn this paper, time optimal trajectory tracking of redundant planar cable-suspended robots is investigated. The equations of motion of these cable robots are obtained as a system of second order differential equation in terms of path parameter s using the specified path. Besides, the bounds on the cable tensions and cable velocities are transformed into the bounds on the acceleration and velocity along the path. Assuming bang-bang control, the switching points in ṡ2−s plane are obtained. Then the cable tensions are found in terms of path parameter and, subsequently, versus time. The proposed approach is validated and the effect of the number of superfluous cables on the value of minimum time is studied. The next notable challenges include time optimal path planning of cable-suspended robots. By developing a hybrid genetic algorithm and bang-bang control approach, the minimum motion time from initial state to final one and also the corresponding path can be found. The optimum path is the one that minimizes traveling time from initial state to final one, while not exceeding the cable tensions and cable velocities limits, without collision with any obstacles.
publisherThe American Society of Mechanical Engineers (ASME)
titleTime Optimal Trajectory Tracking of Redundant Planar Cable-Suspended Robots Considering Both Tension and Velocity Constraints
typeJournal Paper
journal volume133
journal issue1
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4002712
journal fristpage11004
identifier eissn1528-9028
keywordsRobots
keywordsCables AND Trajectories (Physics)
treeJournal of Dynamic Systems, Measurement, and Control:;2011:;volume( 133 ):;issue: 001
contenttypeFulltext


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