This article presents the development and application of a distinct adaptive control algorithm that is based on fuzzy logic and was used to control the specific growth rate (SGR) in a fed-batch biotechnological process. The developed control algorithm was compared with two adaptive control systems that were based on a model-free adaptive technique and gain scheduling technique. A typical mathematical model of recombinant Escherichia coli fed-batch cultivation process was selected to evaluate the performance of the fuzzy-based control algorithm. The investigated control techniques performed similarly when considering the whole process duration. The adaptive PI controller with fuzzy-based parameter adaptation demonstrated advantages over the previously mentioned algorithms—especially when compensating the deviations of the SGR. These deviations usually occur when the equipment malfunctions or process disturbances take place. The fuzzy-based control system was stable within the investigated ranges. It was determined that, regarding control quality, the investigated control algorithms are suited to control the SGR in a fed-batch biotechnological process. However, substrate feeding rate manipulation and limitation needs to be used. Taking into account the time needed to design and tune the controller, the developed controller is suitable for practical applications when expert knowledge is available. The proposed algorithm can be further adapted and developed to control the SGR in other cell cultivations while running the process under substrate limitation conditions.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Fuzzy logic-based adaptive control of specific growth rate in fed-batch biotechnological processes. A simulation study


    Beteiligte:

    Erscheinungsdatum :

    2020-01-01


    Anmerkungen:

    Applied sciences, Basel : MDPI, 2020, vol. 10, iss. 19, art. no. 6818, p. 1-12 ; ISSN 2076-3417


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    Fuzzy logic-based adaptive control of specific growth rate in fed-batch biotechnological processes. A simulation study

    Butkus, Mantas / Repšytė, Jolanta / Galvanauskas, Vytautas | BASE | 2020

    Freier Zugriff

    Fuzzy logic-based adaptive control of specific growth rate in fed-batch biotechnological processes. A simulation study

    Butkus, Mantas / Repšytė, Jolanta / Galvanauskas, Vytautas | BASE | 2020

    Freier Zugriff

    Adaptive control of biomass -specific growth rate in fed-batch biotechnological processes: a comparative study

    Galvanauskas, Vytautas / Simutis, Rimvydas / Vaitkus, Vygandas | BASE | 2019

    Freier Zugriff

    Adaptive control of biomass -specific growth rate in fed-batch biotechnological processes: a comparative study

    Galvanauskas, Vytautas / Simutis, Rimvydas / Vaitkus, Vygandas | BASE | 2019

    Freier Zugriff

    Adaptive control of biomass -specific growth rate in fed-batch biotechnological processes: a comparative study

    Galvanauskas, Vytautas / Simutis, Rimvydas / Vaitkus, Vygandas | BASE | 2019

    Freier Zugriff