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contributor authorBarnett, Eric
contributor authorGosselin, Clأ©ment
date accessioned2017-05-09T01:16:34Z
date available2017-05-09T01:16:34Z
date issued2015
identifier issn0022-0434
identifier otherds_137_07_071007.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/157560
description abstractTimeoptimal trajectory planning (TOTP) is a wellstudied problem in robotics and manufacturing, which involves the minimization of the time required for the operation point of a mechanism to follow a path, subject to a set of constraints. A TOTP technique, designed for fully specified paths that include abrupt changes in direction, was previously introduced by the first author of this paper: an incremental approach called minimumtime trajectory shaping (MTTS) was used. In the current paper, MTTS is converted to a dynamic technique and adapted for use with cabledriven parallel robots, which exhibit cable tension and motor torque constraints. For many applications, cable tensions along a path are verified after trajectory generation, rather than imposed during trajectory generation. For the technique proposed in this paper, the cabletension constraints are imposed directly and fully integrated with MTTS, during trajectory generation, thus maintaining a timeoptimal solution. MTTS is applied to a test system and path, and compared to the bang–bang technique. With the same constraints, the results obtained with both techniques are found to be very close. However, MTTS can be applied to a wider variety of paths, and accepts constraints on jerk and total acceleration that would be difficult to apply using the bang–bang approach.
publisherThe American Society of Mechanical Engineers (ASME)
titleTime Optimal Trajectory Planning of Cable Driven Parallel Mechanisms for Fully Specified Paths With G1 Discontinuities
typeJournal Paper
journal volume137
journal issue7
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4029769
journal fristpage71007
journal lastpage71007
identifier eissn1528-9028
treeJournal of Dynamic Systems, Measurement, and Control:;2015:;volume( 137 ):;issue: 007
contenttypeFulltext


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