dc.contributor.author |
Tzafestas, S |
en |
dc.contributor.author |
Kalobatsos, B |
en |
dc.contributor.author |
Stavrakakis, G |
en |
dc.contributor.author |
Zagorianos, A |
en |
dc.date.accessioned |
2014-03-01T01:09:03Z |
|
dc.date.available |
2014-03-01T01:09:03Z |
|
dc.date.issued |
1992 |
en |
dc.identifier.issn |
0016-0032 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/10814 |
|
dc.subject |
Adaptive Control |
en |
dc.subject |
Industrial Robots |
en |
dc.subject |
Trajectory Generation |
en |
dc.subject.classification |
Automation & Control Systems |
en |
dc.subject.classification |
Engineering, Multidisciplinary |
en |
dc.subject.classification |
Engineering, Electrical & Electronic |
en |
dc.subject.classification |
Mathematics, Interdisciplinary Applications |
en |
dc.subject.other |
Control Systems, Adaptive--Controllability |
en |
dc.subject.other |
Mechanisms--Degrees of Freedom |
en |
dc.subject.other |
Arm Kinematics |
en |
dc.subject.other |
Links |
en |
dc.subject.other |
Trajectories |
en |
dc.subject.other |
Robots, Industrial |
en |
dc.title |
Some results on the autonomous trajectory generation and adaptive control of industrial robots |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/0016-0032(92)90091-T |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/0016-0032(92)90091-T |
en |
heal.language |
English |
en |
heal.publicationDate |
1992 |
en |
heal.abstract |
Part I of this paper presents a study of an autonomous trajectory generation system (ATGS) which is useful for industrial robots carrying out mechanical operations. It is a very simple job with such an ATGS to generate planar curved trajectories f(x, y) = 0, an attractive factor in such applications. Two alternative variations of the ATGS are presented which possess particular characteristics. Part II deals with the trajectory control problem and uses the ATGS as a first stage of a model reference adaptive control loop of a robot. The theoretical results are illustrated by simulation examples worked out using the software packages developed for this purpose. © 1992. |
en |
heal.publisher |
PERGAMON-ELSEVIER SCIENCE LTD |
en |
heal.journalName |
Journal of the Franklin Institute |
en |
dc.identifier.doi |
10.1016/0016-0032(92)90091-T |
en |
dc.identifier.isi |
ISI:A1992GV34300001 |
en |
dc.identifier.volume |
329 |
en |
dc.identifier.issue |
1 |
en |
dc.identifier.spage |
1 |
en |
dc.identifier.epage |
14 |
en |