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Gravitational Search Algorithm-Based Tuning of Fuzzy Control Systems with a Reduced Parametric Sensitivity

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Soft Computing in Industrial Applications

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 96))

Abstract

This paper proposes the tuning of a class of fuzzy control systems to ensure a reduced parametric sensitivity on the basis of a new Gravitational Search Algorithm (GSA). The GSA is employed to solve the optimization problems characterized by the minimization of objective functions defined as integral quadratic performance indices. The performance indices depend on the control error and on the squared output sensitivity functions of the sensitivity models with respect to the parametric variations of the controlled process. The controlled processes in the fuzzy control systems are benchmarks modeled by second-order linearized systems with an integral component and Takagi-Sugeno proportional-integral fuzzy controllers are designed and tuned for these processes.

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Author information

Authors and Affiliations

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

    Radu-Emil Precup, Radu-Codruţ David, Stefan Preitl & Adrian Sebastian Paul

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

    Emil M. Petriu

Authors
  1. Radu-Emil Precup
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  2. Radu-Codruţ David
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  3. Emil M. Petriu
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  4. Stefan Preitl
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  5. Adrian Sebastian Paul
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Editor information

Editors and Affiliations

  1. Department of Polymer Engineering, University of Minho, Campus de Azurém, 4800-058, Guimarães, Portugal

    António Gaspar-Cunha

  2. Department of Mathematics, Federal University of Minas Gerais (UFMG) , Av. Antonio Carlos 6627, 30123970, Belo Horizonte, Brazil

    Ricardo Takahashi

  3. Department of Computer Science, Loughborough University, LE11 3TU, Loughborough, U.K.

    Gerald Schaefer

  4. Department of Production and Systems School of Engineering, University of Minho, 4800-058, Guimarães, Portugal

    Lino Costa

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© 2011 Springer-Verlag Berlin Heidelberg

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Precup, RE., David, RC., Petriu, E.M., Preitl, S., Paul, A.S. (2011). Gravitational Search Algorithm-Based Tuning of Fuzzy Control Systems with a Reduced Parametric Sensitivity. In: Gaspar-Cunha, A., Takahashi, R., Schaefer, G., Costa, L. (eds) Soft Computing in Industrial Applications. Advances in Intelligent and Soft Computing, vol 96. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20505-7_12

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  • DOI: https://doi.org/10.1007/978-3-642-20505-7_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20504-0

  • Online ISBN: 978-3-642-20505-7

  • eBook Packages: EngineeringEngineering (R0)

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