Iterative learning control (ILC) is well known for producing faster convergence using continuous output tracking based on the given reference plant model. This paper proposes a hybridization of the ILC with the fractional-order predictive PI (FOPPI) for time-delay processes. First, the design of L- and Q-filters for the ILC controller will be obtained using the process model. Then, the obtained filter coefficients are combined and fed to the feed-forward path after the error reduction and control signal conditioning. Finally, the performance of the proposed hybrid ILC-FOPPI controller is evaluated with the conventional PI, fractional-order PI (FOPI), and predictive PI (PPI) controllers over the time-delay processes. Simulation results obtained show the proposed technique’s effective improvement in faster settling and peak overshoot minimization.


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    Titel :

    Novel Hybrid Iterative Learning–Fractional Predicative PI Controller for Time-Delay Systems


    Weitere Titelangaben:

    stud. in Infrastructure & Control


    Beteiligte:
    Mehta, Utkal (Herausgeber:in) / Bingi, Kishore (Herausgeber:in) / Saxena, Sahaj (Herausgeber:in) / Arun Mozhi Devan, P. (Autor:in) / Hussin, Fawnizu Azmadi (Autor:in) / Ibrahim, Rosdiazli (Autor:in) / Nagarajapandian, M. (Autor:in) / Assaad, Maher (Autor:in)


    Erscheinungsdatum :

    2022-09-11


    Format / Umfang :

    19 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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