Adaptive control of flexible joint robot manipulators: A singular perturbation approach
Ghorbel, Fathi
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/20295
Description
Title
Adaptive control of flexible joint robot manipulators: A singular perturbation approach
Author(s)
Ghorbel, Fathi
Issue Date
1991
Doctoral Committee Chair(s)
Spong, Mark W.
Department of Study
Mechanical Science and Engineering
Discipline
Mechanical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Engineering, Mechanical
Engineering, System Science
Language
eng
Abstract
The adaptive control of flexible joint robot manipulators using composite control is presented first. This slow/fast control strategy consists of a slow adaptive controller designed for a rigid robot together with a fast controller to damp the elastic oscillations of the joints. The mathematical details and rigorous stability proofs of this algorithm are presented. Using the composite Lyapunov theory for singularly perturbed systems, sufficient conditions for adaptive trajectory tracking a presented. A second approach based on the method of integral manifolds for singularly perturbed systems is presented next. The known parameter case is treated and stability analysis is included. The method of integral manifolds is then extended to the adaptive case. Sufficient conditions for adaptive trajectory tracking are presented for both the general case and a special class of robot manipulators. Finally experimental and simulation results are included to illustrate different aspects of the results including adaptive instability mechanisms.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
