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ANN and Fuzzy logic applied to control of disturbances in mechatronics system

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Computational Intelligence Theory and Applications (Fuzzy Days 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1226))

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Abstract

In this work a purpose of the ANN and Fuzzy Logic for integrated logic control of disturbances in mechatronics system has been considered. The main task of this study was to investigate whether electronic logic designed into various aspects of mechatronics system control, can provide and improve flexibility as well as control capability, to fully automate and optimise process control with programming options. A neural controller, based on feedforward neural net with back propagation algorithm, was designed and implemented. The controller was compared to a classic PID controller for disturbances in motion control loop. There results were very promising.

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References

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Authors and Affiliations

  1. Faculty of Mech. Engineering, Technical University of Gdansk, PL- 80-952, Gdansk, Poland

    Tadeusz S. Matuszek & Szymon Grymek

Authors
  1. Tadeusz S. Matuszek
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  2. Szymon Grymek
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Bernd Reusch

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© 1997 Springer-Verlag Berlin Heidelberg

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Matuszek, T.S., Grymek, S. (1997). ANN and Fuzzy logic applied to control of disturbances in mechatronics system. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_182

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  • DOI: https://doi.org/10.1007/3-540-62868-1_182

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62868-2

  • Online ISBN: 978-3-540-69031-3

  • eBook Packages: Springer Book Archive

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