Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-22T15:25:22.599Z Has data issue: false hasContentIssue false
  • English
  • Français

A new simulation scheme for self-tuning adaptive control of robot manipulators

Published online by Cambridge University Press:  09 March 2009

Q. Wang  and
D. R. Broome
Q. Wang
Affiliation:
The Control Group, Dept of Mechanical Engineering, University College London, Torrington Place, London WC1E 7JE (UK)
D. R. Broome
Affiliation:
The Control Group, Dept of Mechanical Engineering, University College London, Torrington Place, London WC1E 7JE (UK)
Get access Rights & Permissions [Opens in a new window]

Summary

In most dynamic adaptive control simulation of robotic manipulators, the Langrange–Euler (L–E) dynamic equations are first piecewise linearized about the desired reference and then discretized and rewritten in a state space form. This makes things very complicated and it is easy to make errors. What is more is that with a different reference this work must be done again. A new simulation scheme – Backward Recursive Self-Tuning Adaptive (BRSTA) – as it will be called, is suggested in this paper for adaptive controller design of robot manipulators. A two degree of freedom robot manipulator is used to verify the scheme in the condition of highly nonlinear and highly coupled system. A one degree of freedom robot manipulator is used for comparing both the forward and backward methods. The main advantages of this scheme include that it can be used for evaluating the self-tuning adaptive control laws and provide the initial process parameters for real-time control. And it is concluded here that the Newton–Euler (N–E) dynamic equations are equally well qualified as the Langrange–Euler (L-E) equations for the simulation of self-tuning adaptive control of robot manipulators.

Keywords

Adaptive controlRobotsSimulation schemeSelf-tuning.
Type
Article
Information
Robotica , Volume 9 , Issue 3 , July 1991 , pp. 335 - 339
Copyright
Copyright © Cambridge University Press 1991

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Karam, K.Z. and Warwick, K., “A Microprocessor Based Adaptive Controller for Robotic Manipulators” IEE Colloquium 4/1–4/4 London (1989).Google Scholar
2.Liu, M. and Lin, W., “Pole Assignment Self-tuning Adaptive Control for Robotic Manipulators” Intern. J. Control 46, No. 4, 1307–1317 (1987).Google Scholar
3.Greenshields, M. and Broome, D.R., Digital Control System (MSc Lecturing Manuscript, UCL, 1989).Google Scholar
4.Paul, R.P., Robot Manipulators: Mathematics, Programming and Control, (The MIT Press, Cambridge, Mass., 1982).Google Scholar
5.Ljung, L. and Soderstrom, T., Theory and Practice of Recursive Identification 12–23 (The MIT Press, Cambridge, Mass., 1983).Google Scholar
6.Ogata, K., Discrete-Time Control System, 213–222 (Prentice Hall International, New York, 1987).Google Scholar