Control of nonlinear servo systems using neural networks

Authors

  • Luis A. Ponce Facultad de Ingeniería Eléctrica y Electrónica, Universidad Nacional de Ingeniería. Lima, Perú.
  • Arturo Moreno Facultad de Ingeniería Eléctrica y Electrónica, Universidad Nacional de Ingeniería. Lima, Perú.
  • Luis G. Herrera Bendezú Facultad de Ingeniería Eléctrica y Electrónica, Universidad Nacional de Ingeniería. Lima, Perú.

DOI:

https://doi.org/10.21754/tecnia.v9i1.413

Keywords:

Neural networks, Identification, PID, Smart monitoring, Feedback

Abstract

In this work, the problem of trajectory identification of nonlinear systems using neural networks is presented. The theoretical results are verified by means of an experimental study in which the nonlinear system is made up of a permanent magnet DC servomotor with reduction that also has a rod coupled to the motor shaft, in the manner of a One Degree of Freedom Robotic Arm ( BRIL), where the rod is capable of moving in a plane perpendicular to the motor axis and is controlled by the armature voltage applied to the servomotor.

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References

[1] James A. Freeman/ David M. Skapura, Redes Neuronales. Algoritmos, aplicaciones y técnicas de programación. Addison Wesley Iberoamericana, S. A. 1993.

[2] Simon Haykin, Neural Networks, Macmillan College publishing Company. Inc 1994.

[3] Kumpati S. Narendra and Kannan Pathasarathy, Identification and Control of Dynamical Systems Using Neural Networks, IEEE Transactions on Neural Networks. Vol, l, March 1990.

[4] Octave, Sofware para cálculos matemáticos. University of Wisconsin-Madison, ftp://ftp.che.wise.edu/pub/octave.

[5] Astrom, K.J, and Wittenmark B., Computer Controlled Systems: Theory and Desing. Prentice Hall 2da edción, 1990.

[6] Priyadarshee D. Mathur, Servo Desing for High Speed Low-Tension Tape Transport. Carnegie Mellon University, Pittsburgh, Pennsylvania, December 1994.

Published

1998-06-01

How to Cite

[1]
L. A. Ponce, A. Moreno, and L. G. Herrera Bendezú, “Control of nonlinear servo systems using neural networks”, TEC, vol. 9, no. 1, pp. 53–62, Jun. 1998.

Issue

Section

Articles