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Adaptive control of an industrial robot

Published online by Cambridge University Press:  09 March 2009

Ajit M. Karnik  and
Naresh K. Sinha
Ajit M. Karnik
Affiliation:
Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario (Canada) L8S 4L 7
Naresh K. Sinha
Affiliation:
Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario (Canada) L8S 4L 7
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Abstract

SUMMARY

For the past several years, industrial robots are being used extensively. These robots are generally equipped with relatively simple control systems. Such control systems have proved adequate, but with increased demand on robot performance, there is need for advanced and sophisticated controllers. One of the probelms in the control of robots is that system dynamics change due to several factors such as the orientation of arms and their effective inertia.

Adaptive controllers have the advantage that the system is continuously modelled and controller parameters are evaluated on-line, thus resulting in superior performance. Adaptive controllers can be realized in several ways.

This paper describes the design and performance of an explicit self tuning regulator for a robot arm.

Type
Articles
Information
Robotica , Volume 4 , Issue 4 , October 1986 , pp. 243 - 246
Copyright
Copyright © Cambridge University Press 1986

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References

Astrom, K.J. and Wittenmark, B., Computer Controlled Systems, (Prentice-Hall, New York, 1984).Google Scholar
Dubowsky, S. and Forges, D.T. Des, “The application of model referenced adaptive control to robotic manipulators”, J. Dynamic Systems, Measurement, and Control. 101, 193–200 (09, 1979).Google Scholar
Balestrino, A., De Maria, G. and Sciavicco, L., “An adaptive model following control for robotic manipulators”, J. Dynamic Systems, Measurement, and Control 105, 143–151 (09, 1983).Google Scholar
Wellstead, P.E., Prager, D. and Zanker, P., “Pole assignment self-tuning regulator” Proc. IEE 126, No. 8, 781–787 (08, 1979).Google Scholar
Landau, Y.D., “Adaptive control–the model reference approach” (Marcel-Dekker, New York, 1979).Google Scholar
Sinha, N.K. and Kuzsta, B., Modeling and Identification of Dynamic Systems (Van–Nostrand–Reinhold Publishing Co., New York, 1983).Google Scholar
Lee, C.S.G., “On the control of robot manipulators” Proc. of SPIE on Robotics and Robot Sensing Systems, San Diego (08, 1983) pp. 58–83.Google Scholar
Karnik, A.M. and Sinha, N.K., “Modeling a robot arm from sampled input–output data” Proc. 7th IFAC Symposium on Identification and System Parameter Estimation York, U.K. (07, 1985).Google Scholar
Karnik, A.M. and Sinha, N.K., “A direct approach to modeling an industrial robot from samples of input-output data” Robotica 2, 161–167 (1984).CrossRefGoogle Scholar
Kailath, T., Linear Systems (Prentice-Hall, New York, 1980).Google Scholar
Astrom, K.J., Borrison, U., Ljung, L. and Wittenmark, B., “Theory and applications of self-tuning regulators” Automatica 13, 457–476 (1977).Google Scholar
Clarke, D.W. and Gawthrop, P.J., “Self-tuning control” Proc. IEE 126, No. 6, 633–640 (07 1979).Google Scholar