This paper presents a novel method for max-imizing power point tracking (MPPT) in solar photovoltaic (PV) systems, specifically designed for charging electric vehicles (EVs). The approach incorporates a super-twisting controller (STC) to achieve efficient MPPT in the PV system. The STC is utilized to effectively regulate the power output of PV panels by accurately tracking their maximum power points. In contrast to conventional sliding mode controllers, STCs reduces chattering and provides better tracking. As a potential renewable energy solution, the proposed technique offers a convenient method of enhancing the power output of photovoltaic systems. To evaluate its effectiveness under various conditions such as irradiance and temperature fluctuations, the proposed method is compared against the conventional perturb and observe (P&O) MPPT technique. Finally, the effectiveness of the suggested method is demonstrated through comparative simulations, highlighting its advantages in the presence of environmental disturbances.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Solar-to-Vehicle Charging with Maximum Power Point Tracking using Super-Twisting Controller


    Beteiligte:
    Soni, Sandeep Kumar (Autor:in) / Singh, Saumya (Autor:in) / Kumar, Sunil (Autor:in) / Sahu, Himanshu Sekhar (Autor:in) / Saket, R.K. (Autor:in)


    Erscheinungsdatum :

    12.12.2023


    Format / Umfang :

    3257164 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Attitude trajectory tracking of quadrotor UAV using super-twisting observer-based adaptive controller

    Chen, Ai-Jun / Sun, Ming-Jian / Wang, Zhen-Hua et al. | SAGE Publications | 2021


    Adaptive Generalized Super-Twisting Tracking Control of an Underwater Vehicle

    Haugalokken, Bent O. A. / Amundsen, Herman B. / Fadum, Hakon S. et al. | IEEE | 2023


    Quadrotor attitude controller based on super-twisting algorithm

    Li, Renji / Chang, Zhiyuan / Li, Ke et al. | British Library Conference Proceedings | 2022


    Quadrotor attitude controller based on super-twisting algorithm

    Li, Renji / Chang, Zhiyuan / Li, Ke et al. | SPIE | 2022