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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2015: Artificial Intelligence and Soft Computing pp 261–271Cite as

Optimization of Controller Structure Using Evolutionary Algorithm

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9120))

Abstract

PID-based controller structures are typically used in industrial control systems. However, in different areas the controller structures are slightly different. The differences are due to the modifications introduced by the expert. Expert, based on his experience and on trial-and-error method, adjusts the initial controller structure in order to obtain a better quality of control. In this paper a method based on an evolutionary algorithm is proposed. Usage of the proposed method makes this difficult and time consuming task easier and faster.

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Author information

Authors and Affiliations

  1. Institute of Computational Intelligence, Częstochowa University of Technology, Częstochowa, Poland

    Andrzej Przybył & Jacek Szczypta

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

Authors
  1. Andrzej Przybył
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  2. Jacek Szczypta
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  3. Lipo Wang
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Corresponding author

Correspondence to Andrzej Przybył .

Editor information

Editors and Affiliations

  1. Czestochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Czestochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Czestochova Univ of Technology, Częstochova, Poland

    Rafal Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. Louisville, Kentucky, USA

    Jacek M. Zurada

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Przybył, A., Szczypta, J., Wang, L. (2015). Optimization of Controller Structure Using Evolutionary Algorithm. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9120. Springer, Cham. https://doi.org/10.1007/978-3-319-19369-4_24

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  • DOI: https://doi.org/10.1007/978-3-319-19369-4_24

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19368-7

  • Online ISBN: 978-3-319-19369-4

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