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contributor authorAi, Bing
contributor authorSentis, Luis
contributor authorPaine, Nicholas
contributor authorHan, Song
contributor authorMok, Aloysius
contributor authorFok, Chien
date accessioned2017-05-09T01:26:58Z
date available2017-05-09T01:26:58Z
date issued2016
identifier issn0022-0434
identifier otherds_138_05_051005.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/160664
description abstractTime delay is a common phenomenon in robotic systems due to computational requirements and communication properties between or within highlevel and lowlevel controllers as well as the physical constraints of the actuator and sensor. It is widely believed that delays are harmful for robotic systems in terms of stability and performance; however, we propose a different view that the time delay of the system may in some cases benefit system stability and performance. Therefore, in this paper, we discuss the influences of the displacementfeedback delay (single delay) and both displacement and velocity feedback delays (double delays) on robotic actuator systems by using the cluster treatment of characteristic roots (CTCR) methodology. Hence, we can ascertain the exact stability interval for singledelay systems and the rigorous stability region for doubledelay systems. The influences of controller gains and the filtering frequency on the stability of the system are discussed. Based on the stability information coupled with the dominant root distribution, we propose one nonconventional rule which suggests increasing time delay to certain time windows to obtain the optimal system performance. The computation results are also verified on an actuator testbed.
publisherThe American Society of Mechanical Engineers (ASME)
titleStability and Performance Analysis of Time Delayed Actuator Control Systems
typeJournal Paper
journal volume138
journal issue5
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4032461
journal fristpage51005
journal lastpage51005
identifier eissn1528-9028
treeJournal of Dynamic Systems, Measurement, and Control:;2016:;volume( 138 ):;issue: 005
contenttypeFulltext


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