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contributor authorBertino, Alexander;Naseradinmousavi, Peiman;Krstic, Miroslav
date accessioned2022-12-27T23:21:45Z
date available2022-12-27T23:21:45Z
date copyright8/8/2022 12:00:00 AM
date issued2022
identifier issn0022-0434
identifier otherds_144_10_101005.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288473
description abstractWe present an analytical design and experimental verification of trajectory tracking control of a 7-DOF robot manipulator, which achieves convergence of all tracking errors to the origin within a finite terminal time, also referred to as the “settling time.” A key feature of this control strategy is that the settling time is explicitly assigned by the control designer to a value desired, or “prescribed” by the user and that the settling time is independent of the initial conditions and of the reference signal. In order to achieve this beneficial property with the controller, a scaling of the state by a function of time that grows unbounded toward the terminal time is employed. Through Lyapunov analysis, we first demonstrate that the proposed controller achieves regulation of all tracking errors within the prescribed time as well as the uniform boundedness of the joint torques, even in the presence of a matched, nonvanishing disturbance. Then, through both simulation and experiment, we demonstrate that the proposed controller is capable of converging to the desired trajectory within the prescribed time, despite large distance between the initial conditions and the reference trajectory, i.e., in spite of large initial tracking errors, and in spite of a sinusoidal disturbance being applied in each joint.
publisherThe American Society of Mechanical Engineers (ASME)
titleDesign and Experiment of a Prescribed-Time Trajectory Tracking Controller for a 7-DOF Robot Manipulator
typeJournal Paper
journal volume144
journal issue10
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4055023
journal fristpage101005
journal lastpage101005_10
page10
treeJournal of Dynamic Systems, Measurement, and Control:;2022:;volume( 144 ):;issue: 010
contenttypeFulltext


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