Abstract In this paper, in order to linearize the nonlinear model of batch processes, a batch process is modeled by just in time learning (JITL) method and dynamic updating locally linear model parameters along batch cycle is also proposed. Considering that the error between the actual model and the prediction model, iterative learning control strategy based on a quadratic performance criterion is proposed and the system controller is solved by linear matrix inequality (LMI) method. Moreover the convergence of tracking error based on ILC is also analyzed and the conditions of convergence is proposed. In order to satisfy the condition, a novel ILC method based on JITL is proposed. To improve the convergence speed, this paper further uses of ILC based on nominal trajectory. As a result, the simulation results show that the system has better accuracy of output. It provides a new way for the control of batch processes.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An LMI Approach to Iterative Learning Control Based on JITL for Batch Processes


    Beteiligte:
    Zhou, Liuming (Autor:in) / Jia, Li (Autor:in)


    Erscheinungsdatum :

    01.01.2017


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Integrated Neurofuzzy-JITL Model and Its Application in Batch Processes

    Fu, Z. / Jia, L. | British Library Conference Proceedings | 2014



    Integrated Iterative Learning Control Strategy for Batch Processes

    Jia, L. / Yang, T. / Chiu, M.-S. | British Library Conference Proceedings | 2014


    Integrated Iterative Learning Control Strategy for Batch Processes

    Jia, Li / Yang, Tian / Chiu, Min-Sen | Springer Verlag | 2014


    Robust Predictive and Iterative Learning Control as Applied to Batch Process

    Sun, Haiqiao / Chen, Jun / Liu, Fei | British Library Online Contents | 2015