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Conference on Automation

AUTOMATION 2018: Automation 2018 pp 401–417Cite as

New Parameter Identification Method for the Fractional Order, State Space Model of Heat Transfer Process

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 743))

Abstract

In the paper parameter identification problem for model of heat transfer process is considered. The system under consideration is described by fractional order, state equation using Caputo operator. The parameters of the model are identified via optimization of the MSE cost function, describing the difference between step responses of real experimental plant and tested model. The proposed by authors optimization method consists in associating PSO and simplex algorithms. Results of numerical tests point that the proposed method assures good accuracy with short duration of calculations.

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Authors and Affiliations

  1. AGH University of Science and Technology, al. Mickiewicza 30, 30-059, Krakow, Poland

    Krzysztof Oprzędkiewicz & Klaudia Dziedzic

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  1. Krzysztof Oprzędkiewicz
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  2. Klaudia Dziedzic
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Correspondence to Krzysztof Oprzędkiewicz .

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Editors and Affiliations

  1. Industrial Research Institute for Automation and Measurements PIAP, Warsaw, Poland

    Roman Szewczyk

  2. Industrial Research Institute for Automation and Measurements PIAP, Warsaw, Poland

    Cezary Zieliński

  3. Industrial Research Institute for Automation and Measurements PIAP, Warsaw, Poland

    Małgorzata Kaliczyńska

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Oprzędkiewicz, K., Dziedzic, K. (2018). New Parameter Identification Method for the Fractional Order, State Space Model of Heat Transfer Process. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2018. AUTOMATION 2018. Advances in Intelligent Systems and Computing, vol 743. Springer, Cham. https://doi.org/10.1007/978-3-319-77179-3_38

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  • DOI: https://doi.org/10.1007/978-3-319-77179-3_38

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  • Online ISBN: 978-3-319-77179-3

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