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  • Wang, Xian  (1)
  • Xing, Chao  (1)
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    Online Resource
    Online Resource
    Frontiers Media SA ; 2022
    In:  Frontiers in Energy Research Vol. 10 ( 2022-9-5)
    In: Frontiers in Energy Research, Frontiers Media SA, Vol. 10 ( 2022-9-5)
    Abstract: This study proposes an online finite-time adaptive parameter estimation method for grid-connected voltage source inverter (VSI) with LCL filter. In this framework, a time-continuous state-space system model is first developed, which is different from the nonparametric frequency-response-based method. Then, the parameter estimation error information is extracted by introducing a series of filter operations. Moreover, a sliding mode term is studied and cooperated with the obtained parameter estimation error to design the parameter estimation error-based finite-time adaptive parameter estimation algorithm. With the help of this novel adaptive law, the physical parameters of electrical components can be driven to their true values accurately and fast. Theoretical analysis is conducted in terms of the Lyapunov theory to demonstrate the convergence of the parameter estimation error. Finally, numerical simulation results are provided to illustrate the superiority of the proposed method over the conventional method.
    Type of Medium: Online Resource
    ISSN: 2296-598X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2733788-1
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