The objective of this paper is extracting the maximum wind power from a doubly fed induction generator (DFIG) based wind energy conversion system (WECS).
Abstract— The objective of this paper is extracting the maximum wind power from a doubly fed induction generator. (DFIG) based wind energy conversion system ...
The NNC is also used to determine the Backstepping constants for a DFIG in [14] . Significant oscillations can be noticed in the transient regime, according to ...
Jan 16, 2024 · The study proposes a robust control approach called Integral action Sliding Mode Control (ISMC) to enhance the dynamic performance of the WECS based on DFIG.
Implementation of the Adaptive Neural networks Backstepping ...
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In this article, we propose an adaptive neural network Backstepping controller for a stand-alone doubly-fed induction generator (DFIG) based WECS.
Jul 12, 2022 · This paper discussed a non-linear control applied to a WECS-DFIG and developed the Adaptive Backstepping control based on the Lyapunov stability ...
In this chapter, we show how the backstepping control design approach can be used to develop adaptive controllers for wind energy conversion systems (WECS).
Dec 8, 2024 · Robust Control based on Backstepping and adaptive neural network for the DFIG based WECS. Conference Paper. Jul 2019. Sami Labdai ...
In this paper, we present a nonlinear robust control of active and reactive power by the use of the technique Backstepping a double-fed asynchronous generator ...
This paper proposes a robust control based on the integral backstepping control (IBC) for power quality enhancement of micro-grid-connected photovoltaic (PV) ...