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Disturbance Rejection Improvement for the Sliding Mode Smith Predictor Based on Bio-inspired Tuning

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CONTROLO 2016

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 402))

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Abstract

This paper addresses a strategy to improve disturbance rejection for the Sliding Mode Controller designed in a Smith Predictor scheme (SMC-SP), with its parameters tuned through the bio-inspired search algorithm—Particle Swarm Optimization (PSO). Conventional SMC-SP is commonly based on tuning equations derived from step response identification, when First Order Plus Dead Time models (FOPDT) are considered and therefore controller parameters are previously set. Online PSO tuning based on minimization of the Integral of Time Absolute Error (ITAE) can provide faster recovery from external disturbances without significant increase of energy consumption, and the Sliding Mode feature deals with possible model mismatch. Simulation results for time delayed systems corroborating these benefits are presented.

This work is financed by the ERDF—European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation—COMPETE 2020 Programme, and by National Funds through the FCT—Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project POCI-01-0145-FEDER-006961.

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Authors and Affiliations

  1. INESC TEC—INESC Technology and Science, Campus da FEUP, 4200-465, Porto, Portugal

    Josenalde Oliveira, José Boaventura-Cunha & Paulo Moura Oliveira

  2. Agricultural School of Jundiaí—Federal University of Rio Grande Do Norte, UFRN, Macaíba, RN, 59280-000, Brazil

    Josenalde Oliveira

  3. University of Trás-os-Montes E Alto Douro, School of Sciences and Technology, 5000-801, Vila Real, Portugal

    José Boaventura-Cunha & Paulo Moura Oliveira

Authors
  1. Josenalde Oliveira
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  2. José Boaventura-Cunha
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  3. Paulo Moura Oliveira
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Correspondence to Josenalde Oliveira .

Editor information

Editors and Affiliations

  1. School of Engineering,Campus de Couros, University of Minho School of Engineering,Campus de Couros, Guimarães, Portugal

    Paulo Garrido

  2. School of Engineering,Campus de Couros, University of Minho School of Engineering,Campus de Couros, Guimarães, Portugal

    Filomena Soares

  3. Faculty of Engineering, University of Porto Faculty of Engineering, Porto, Portugal

    António Paulo Moreira

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Oliveira, J., Boaventura-Cunha, J., Oliveira, P.M. (2017). Disturbance Rejection Improvement for the Sliding Mode Smith Predictor Based on Bio-inspired Tuning. In: Garrido, P., Soares, F., Moreira, A. (eds) CONTROLO 2016. Lecture Notes in Electrical Engineering, vol 402. Springer, Cham. https://doi.org/10.1007/978-3-319-43671-5_5

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  • DOI: https://doi.org/10.1007/978-3-319-43671-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43670-8

  • Online ISBN: 978-3-319-43671-5

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