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contributor authorKarimi Eskandary, Peyman
contributor authorBelzile, Bruno
contributor authorAngeles, Jorge
date accessioned2019-09-18T09:05:48Z
date available2019-09-18T09:05:48Z
date copyright4/8/2019 12:00:00 AM
date issued2019
identifier issn1942-4302
identifier otherjmr_11_3_031001
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4258808
description abstractTrajectory planning and an efficient control scheme play a crucial role in improving the performance of pick-and-place robots. This paper introduces a novel method of trajectory planning with cycle time and path constraints. Assuming that a smooth trajectory is given, to be followed within a prescribed cycle time, the newly proposed method of trajectory planning removes the torque peaks of the actuators by a suitable scheduling of the velocity of the moving plate. Since pick-and-place robots are usually expected to meet the end poses in a certain time span, while disregarding the intermediate poses, the velocity can be tuned properly around the critical points of the trajectory by means of a time-scaling function. Moreover, the authors report the formulation of a linear quadratic regulator (LQR) controller with normalized variables to be used in conjunction with our trajectory-tracking control scheme for an in-house-developed Schönflies-motion generator. This parallel robot offers a functionally symmetric, single-loop architecture, with an isostatic kinematic chain, and virtually unlimited rotatability of its gripper. A comparison between two actuation systems developed by the authors is conducted via simulation results.
publisherAmerican Society of Mechanical Engineers (ASME)
titleTrajectory-Planning and Normalized-Variable Control for Parallel Pick-and-Place Robots
typeJournal Paper
journal volume11
journal issue3
journal titleJournal of Mechanisms and Robotics
identifier doi10.1115/1.4042631
journal fristpage31001
journal lastpage031001-8
treeJournal of Mechanisms and Robotics:;2019:;volume( 011 ):;issue: 003
contenttypeFulltext


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