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A Comparative Study of the Dynamic Matrix Controller Tuning by Evolutionary Computation

  • Conference paper
Distributed Computing and Artificial Intelligence, 12th International Conference

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 373))

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Abstract

The Dynamic Matrix Control (DMC) Algorithm is a control method widely applied to industrial processes. Evolutionary Computation (EP) is a vibrant area of investigation, with some of the least widely known approaches being Genetic Algorithm (GA), Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) all of which can be used in optimisation problem. This work make a comparative study of the effectiveness of the three methods to optimize the tuning parameters of the Dynamic Matrix Controller for SISO (single-input single-output) and MIMO (multi-input multi-output) linear dynamical systems with constraints.

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Author information

Authors and Affiliations

  1. Instituto Federal do Espírito Santo, Coordenadoria de Automação Industrial, Campus Serra, Serra, ES, Brasil

    Gustavo Maia de Almeida, Marco Antonio de S.L. Cuadro & Rogério Passos Pereira Amaral

  2. Departamento de Engenharia Elétrica, Universidade Federal do Espírito Santo, Vitória, ES, Brasil

    José Leandro F. Salles

Authors
  1. Gustavo Maia de Almeida
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  2. Marco Antonio de S.L. Cuadro
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  3. Rogério Passos Pereira Amaral
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  4. José Leandro F. Salles
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Editor information

Editors and Affiliations

  1. Department of Electronics, Information and Communication Engineering, Osaka Institute of Technology, Osaka, Osaka, Japan

    Sigeru Omatu

  2. College of Engineering, Qatar University, Doha, Qatar

    Qutaibah M. Malluhi

  3. Department of Computing Science Faculty of Science, University of Salamanca, Salamanca, Spain

    Sara Rodríguez Gonzalez

  4. Department of Electronics and Computers Division of Computer Science and Managem, Koszalin University of Technology, Koszalin, Poland

    Grzegorz Bocewicz

  5. Department of Philosophical, Pedagogical and Economic-Quantitative Sciences, University of Chieti-Pescara, Pescara, Italy

    Edgardo Bucciarelli

  6. Department of Philosophical, Pedagogical and Economic-Quantitative Sciences, University of Chieti-Pescara, Pescara, Italy

    Gianfranco Giulioni

  7. Zayed University, Abu Dhabi Campus, Abu Dhabi, Utd.Arab.Emir.

    Farkhund Iqba

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© 2015 Springer International Publishing Switzerland

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de Almeida, G.M., de S.L. Cuadro, M.A., Amaral, R.P.P., Salles, J.L.F. (2015). A Comparative Study of the Dynamic Matrix Controller Tuning by Evolutionary Computation. In: Omatu, S., et al. Distributed Computing and Artificial Intelligence, 12th International Conference. Advances in Intelligent Systems and Computing, vol 373. Springer, Cham. https://doi.org/10.1007/978-3-319-19638-1_24

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  • DOI: https://doi.org/10.1007/978-3-319-19638-1_24

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19637-4

  • Online ISBN: 978-3-319-19638-1

  • eBook Packages: EngineeringEngineering (R0)

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