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Designing PID Controller for DC Motor by Means of Enhanced PSO Algorithm with Dissipative Chaotic Map

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Soft Computing Models in Industrial and Environmental Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 188))

Abstract

In this paper, it is proposed the utilization of chaotic dissipative map based chaos number generator to enhance the performance of PSO algorithm. This paper presents results of using chaos enhanced PSO algorithm to design a PID controller for DC motor system. Results are compared with other heuristic and non-heuristic methods.

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Author information

Authors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlin, T.G. Masaryka 5555, 760 01, Zlin, Czech Republic

    Michal Pluhacek, Roman Senkerik & Ivan Zelinka

  2. Faculty of Electrical Engineering and Computer Science, Department of Computer Science, VŠB-Technical University of Ostrava, 17. Listopadu 15, 708 33, Ostrava, Poruba, Czech Republic

    Donald Davendra

Authors
  1. Michal Pluhacek
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  2. Roman Senkerik
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  3. Donald Davendra
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  4. Ivan Zelinka
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Corresponding author

Correspondence to Michal Pluhacek .

Editor information

Editors and Affiliations

  1. VŠB-TU Ostrava, 17. listopadu 15, Ostrava, 70833, Czech Republic

    Václav Snášel

  2. (MIR Labs), Scientific Network for Innovation and, Machine Intelligence Research Labs, Auburn, 98071-2259, Washington, USA

    Ajith Abraham

  3. , Dept. de Informática y Automática, University of Salamanca, Plaza de la Merced, s/n, Salamanca, 37008, Spain

    Emilio S. Corchado

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© 2013 Springer-Verlag Berlin Heidelberg

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Pluhacek, M., Senkerik, R., Davendra, D., Zelinka, I. (2013). Designing PID Controller for DC Motor by Means of Enhanced PSO Algorithm with Dissipative Chaotic Map. In: Snášel, V., Abraham, A., Corchado, E. (eds) Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32922-7_49

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  • DOI: https://doi.org/10.1007/978-3-642-32922-7_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32921-0

  • Online ISBN: 978-3-642-32922-7

  • eBook Packages: EngineeringEngineering (R0)

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