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Methodology for the Optimization of a Fuzzy Controller Using a Bio-inspired Algorithm

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Fuzzy Logic in Intelligent System Design (NAFIPS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 648))

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Abstract

This paper describes the work done on the methodology for the optimization of a fuzzy controller using a bio-inspired optimizationalgorithm. The fuzzy controlller which uses a fuzzy inference system that has angular velocity error, linear velocity error as inputs respectively and as outputs torque 1 and torque 2, to evaluate the tracking performance of the robot in simulation to the desired reference trajectory. For the optimization of the fuzzy system the algorithm of the fireflies was used, which is based on the behavior on the blinking fireflies.

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Authors and Affiliations

  1. Tijuana Institute of Technology, Tijuana, BC, Mexico

    Marylu L. Lagunes, Oscar Castillo & Jose Soria

Authors
  1. Marylu L. Lagunes
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  2. Oscar Castillo
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  3. Jose Soria
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Corresponding author

Correspondence to Oscar Castillo .

Editor information

Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Patricia Melin

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Oscar Castillo

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  4. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Marek Reformat

  5. Laboratory of Computational Intelligence and Automation, University of Waterloo, Waterloo, Ontario, Canada

    William Melek

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Lagunes, M.L., Castillo, O., Soria, J. (2018). Methodology for the Optimization of a Fuzzy Controller Using a Bio-inspired Algorithm. In: Melin, P., Castillo, O., Kacprzyk, J., Reformat, M., Melek, W. (eds) Fuzzy Logic in Intelligent System Design. NAFIPS 2017. Advances in Intelligent Systems and Computing, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-319-67137-6_14

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  • DOI: https://doi.org/10.1007/978-3-319-67137-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67136-9

  • Online ISBN: 978-3-319-67137-6

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