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Three Evolutionary Optimization Algorithms in PI Controller Tuning

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Applied Computational Intelligence in Engineering and Information Technology

Part of the book series: Topics in Intelligent Engineering and Informatics ((TIEI,volume 1))

Abstract

This chapter discusses three evolutionary optimization algorithms employed in the optimal tuning of PI controllers dedicated to a class of second-order processes with an integral component and variable parameters. The evolutionary algorithms used in this chapter are: Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA) and Charged System Search (CSS). The PI controllers are tuned such that to ensure a reduced sensitivity with respect to the parametric variations of the small time constant of the process. The application of the algorithms is illustrated in a case study.

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Author information

Authors and Affiliations

  1. Department of Automation and Applied Informatics, “Politehnica” University of Timisoara, Bd. V. Parvan 2, RO-300223, Timisoara, Romania

    Radu-Codruţ David, Radu-Emil Precup & Stefan Preitl

  2. Institute of Intelligent Engineering Systems, Óbuda University, Bécsi út 96/B, H-1034, Budapest, Hungary

    József K. Tar & János Fodor

Authors
  1. Radu-Codruţ David
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  2. Radu-Emil Precup
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  3. Stefan Preitl
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  4. József K. Tar
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  5. János Fodor
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Corresponding author

Correspondence to Radu-Codruţ David .

Editor information

Editors and Affiliations

  1. , Faculty of Automation and Computers, “Politehnica” University of Timisoara, Bd. V. Parvan 2, Timisoara, 300223, Romania

    Radu-Emil Precup

  2. , Department of Information Technology, University of Miskolc, Miskolc, 3515, Hungary

    Szilveszter Kovács

  3. , Faculty of Automation and Computers, “Politehnica” University of Timisoara, Bd. V. Parvan 2, Timisoara, 300223, Romania

    Stefan Preitl

  4. , School of Information Technology and, University of Ottawa, King Edward 800, Ottawa, K1N 6N5, Canada

    Emil M. Petriu

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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David, RC., Precup, RE., Preitl, S., Tar, J.K., Fodor, J. (2012). Three Evolutionary Optimization Algorithms in PI Controller Tuning. In: Precup, RE., Kovács, S., Preitl, S., Petriu, E. (eds) Applied Computational Intelligence in Engineering and Information Technology. Topics in Intelligent Engineering and Informatics, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28305-5_8

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  • DOI: https://doi.org/10.1007/978-3-642-28305-5_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28304-8

  • Online ISBN: 978-3-642-28305-5

  • eBook Packages: EngineeringEngineering (R0)

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