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10th International Conference on Soft Computing Models in Industrial and Environmental Applications pp 307–316Cite as

Bridging Classical Control with Nature Inspired Computation Through PID Robust Design

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 368))

Abstract

Nature and biological inspired search and optimization methods are simple and powerful tools that can be used to design classical industrial controllers. In this paper a particle swarm optimization (PSO) algorithm based technique is deployed to design proportional integrative and derivative controllers to fulfill minimum robustness constraints. PID robustness design using maximum sensitivity and complementary sensitivity values is re-addressed and formulated within a constrained PSO. Results are presented and analyzed regarding the control objective of load disturbance rejection and compared with other techniques.

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References

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Author information

Authors and Affiliations

  1. Department of Engineering, School of Sciences and Technology, INESC TEC – INESC Technology and Science, UTAD Pole, 5001–801, Vila Real, Portugal

    P. B. de Moura Oliveira, Hélio Freire, E. J. Solteiro Pires & J. Boaventura Cunha

Authors
  1. P. B. de Moura Oliveira
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  2. Hélio Freire
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  3. E. J. Solteiro Pires
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  4. J. Boaventura Cunha
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Corresponding author

Correspondence to P. B. de Moura Oliveira .

Editor information

Editors and Affiliations

  1. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Álvaro Herrero

  2. C/ López Bravo 70, Pol. Ind. Villalonquejar, Technological Institute of Castilla y León, Burgos, Spain

    Javier Sedano

  3. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Bruno Baruque

  4. University of Salamanca, Salamanca, Spain

    Héctor Quintián

  5. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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© 2015 Springer International Publishing Switzerland

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Cite this paper

de Moura Oliveira, P.B., Freire, H., Solteiro Pires, E.J., Boaventura Cunha, J. (2015). Bridging Classical Control with Nature Inspired Computation Through PID Robust Design. In: Herrero, Á., Sedano, J., Baruque, B., Quintián, H., Corchado, E. (eds) 10th International Conference on Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 368. Springer, Cham. https://doi.org/10.1007/978-3-319-19719-7_27

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  • DOI: https://doi.org/10.1007/978-3-319-19719-7_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19718-0

  • Online ISBN: 978-3-319-19719-7

  • eBook Packages: EngineeringEngineering (R0)

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