Title
Adaptive Control Strategies For Robot Manipulators
Abstract
Model-based feedback control algorithms for robot manipulators require the on-line evaluation of robot dynamics and are particularly sensitive to modeling inaccuracies. This paper presents an adaptive technique for practical implementation of model-based robot control strategies and introduces a novel adaptive algorithm, which makes the design insensitive to modeling errors. The design incorporates an on-line identification technique to eliminate parameter errors and individual joint controllers to compensate for modeling inaccuracies. An illustrated example will be given to demonstrate the development of the proposed algorithm through a simple two-dimensional manipulator.
Publication Date
12-1-2001
Publication Title
ASEE Annual Conference Proceedings
Number of Pages
1431-1435
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
8744292815 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/8744292815
STARS Citation
Rahrooh, Alireza; Motlagh, B.; and Buchanan, W., "Adaptive Control Strategies For Robot Manipulators" (2001). Scopus Export 2000s. 14.
https://stars.library.ucf.edu/scopus2000/14