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Wyszukujesz frazę "robust sliding mode control" wg kryterium: Wszystkie pola

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    Tytuł:
    Robust Back-stepping Based Higher Order Sliding Mode Control of Non-Inverted Buck-Boost Converter for a Photovoltaic System
    Autorzy:
    Ullah, Shaukat
    Powiązania:
    https://bibliotekanauki.pl/articles/1955975.pdf
    Data publikacji:
    2021
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    MPPT
    buck-boost converter
    non-linear control
    backstepping
    higher order sliding
    photovoltaic PV
    Opis:
    Photovoltaic (PV) system generates renewable energy from sunlight, which has low efficiency due to the variance in nature of temperature and irradiance in a fast changing environment condition. Different researchers have proposed different maximum power point tracking MPPT techniques to improve the efficiency. However, still there are many open issues. Thus, to address this, a non-linear back-stepping-based higher order sliding mode controller (BHOSMC) is proposed to harvest maximum power from PV system. The PV module and load is interfaced by a non-inverted buck-boost converter (NIBBC). A linear interpolation method is used for voltage generation and Lyapunov stability is used to verify the control system equation. MATLAB/Simulink software is used for testing the proposed controller performance. The experimental result verified that the proposed BHOSMC is robust, accurate and fast tracking, faultless and less chattering as compared to perturb and observe (P&O), back-stepping control (BSC) and back-stepping-based sliding mode control under rapidly varying meteorological condition.
    Źródło:
    Power Electronics and Drives; 2021, 6, 41; 113-127
    2451-0262
    2543-4292
    Pojawia się w:
    Power Electronics and Drives
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust estimation based nonlinear higher order sliding mode control strategies for PMSG-WECS
    Autorzy:
    Nazir, Awais
    Khan, Safdar Abbas
    Khan, Malak Adnan
    Alam, Zaheer
    Khan, Imran
    Irfan, Muhammad
    Rehman, Saifur
    Nowakowski, Grzegorz
    Powiązania:
    https://bibliotekanauki.pl/articles/27311430.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    wind energy conversion systems
    WECS
    robust control
    maximum power point tracking
    MPPT
    sliding mode control
    SMC
    super-twisting algorithm
    STA
    high gain observer
    artificial neural network
    ANN
    function fitting
    backstepping
    śledzenie maksymalnego punktu mocy
    obserwator o dużym wzmocnieniu
    sztuczna sieć neuronowa
    dopasowanie funkcji
    system konwersji energii wiatrowej
    sterowanie odporne
    sterowanie ślizgowe
    algorytm super skręcania
    Opis:
    The wind energy conversion systems (WECS) suffer from an intermittent nature of source (wind) and the resulting disparity between power generation and electricity demand. Thus, WECS are required to be operated at maximum power point (MPP). This research paper addresses a sophisticated MPP tracking (MPPT) strategy to ensure optimum (maximum) power out of the WECS despite environmental (wind) variations. This study considers a WECS (fixed pitch, 3KW, variable speed) coupled with a permanent magnet synchronous generator (PMSG) and proposes three sliding mode control (SMC) based MPPT schemes, a conventional first order SMC (FOSMC), an integral back-stepping-based SMC (IBSMC) and a super-twisting reachability-based SMC, for maximizing the power output. However, the efficacy of MPPT/control schemes rely on availability of system parameters especially, uncertain/nonlinear dynamics and aerodynamic terms, which are not commonly accessible in practice. As a remedy, an off-line artificial function-fitting neural network (ANN) based on Levenberg-Marquardt algorithm is employed to enhance the performance and robustness of MPPT/control scheme by effectively imitating the uncertain/nonlinear drift terms in the control input pathways. Furthermore, the speed and missing derivative of a generator shaft are determined using a high-gain observer (HGO). Finally, a comparison is made among the stated strategies subjected to stochastic and deterministic wind speed profiles. Extensive MATLAB/Simulink simulations assess the effectiveness of the suggested approaches.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 5; art. no. e147063
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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