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Performance of Soft Computing Controllers in Hemodialysis Machines

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Abstract

Hemodialysis machines have an important role in the support and maintenance of life functions, wherein the strict control of peristaltic pumps is a serious need. The current paper targets to present soft computing methods, which can be applied for the peristaltic pumpcontrol problem, demonstrating their applicability on real systems as well. The performances of these controllers are compared with those of the classical PID controller, in order to highlight the advantages and applicability of these modern control strategies over classical controllers. An adaptive fuzzy-logic system and an adaptive neuro-fuzzy inference system were designed to fulfill the proposed control criteria. The requirements for the sought controller were formulated in three aspects: to be fast, to eliminate the residual error, and to be insensitive to disturbances. The designed controllers were compared and the one demonstrating the best performance has been tested on a real system as well.

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Acknowledgments

The authors are grateful to the BBraun Medical Kft. for the support and for providing the real hemodialysis machine for measurements. The research was supported by the Hungarian OTKA projects 106392 and 105846, and project of the Vojvodina Academy of Sciences and Arts “Mathematical models of intelligent systems and theirs applications”. L. Kovács is a Bolyai Fellow of the Hungarian Academy of Sciences.

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Authors and Affiliations

  1. John von Neumann Faculty of Informatics, Óbuda University, Bécsi út 96/b, 1034, Budapest, Hungary

    József Klespitz & Levente Kovács

  2. Physiological Controls Group, University Research and Innovation Center, Óbuda University, Bécsi út 96/b, 1034, Budapest, Hungary

    József Klespitz, Márta Takács & Levente Kovács

  3. Antal Bejczy Research Center for Intelligent Robotics, University Research and Innovation Center, Óbuda University, Kiscelli út 82, 1032, Budapest, Hungary

    Imre Rudas

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  1. József Klespitz
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  2. Márta Takács
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  3. Imre Rudas
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  4. Levente Kovács
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Correspondence to Levente Kovács.

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Klespitz, J., Takács, M., Rudas, I. et al. Performance of Soft Computing Controllers in Hemodialysis Machines. Int. J. Fuzzy Syst. 17, 414–422 (2015). https://doi.org/10.1007/s40815-015-0056-x

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  • DOI: https://doi.org/10.1007/s40815-015-0056-x

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