[PDF][PDF] Neuro-second order sliding mode control of a DFIG supplied by a two-level NSVM inverter for wind turbine system
H Benbouhenni, Z Boudjema… - Iranian Journal of Electrical …, 2018 - academia.edu
This paper applied second order sliding mode control (SOSMC) strategy using artificial
neural network (ANN) on the rotor side converter of a 1.5 MW doubly fed induction generator …
neural network (ANN) on the rotor side converter of a 1.5 MW doubly fed induction generator …
[PDF][PDF] Comparison study between NPWM and NSVPWM strategy in FSMC control of stator reactive and active powers control of a DFIG-based wind turbine system
H Benbouhenni, Z Boudjema… - Int. J. Appl. Power Eng …, 2020 - academia.edu
In this work, we present a comparative study between neural space vector pulse width
modulation (NSVPWM) and neural pulse width modulation (NPWM) technique in fuzzy …
modulation (NSVPWM) and neural pulse width modulation (NPWM) technique in fuzzy …
Robust chattering-free optimal sliding-mode control using recurrent neural networks: An H∞-based approach
H Toshani, M Farrokhi - … of the Institute of Measurement and …, 2019 - journals.sagepub.com
In this paper, a robust and chattering-free sliding-mode control strategy using recurrent
neural networks (RNNs) and H∞ approach for a class of nonlinear systems with …
neural networks (RNNs) and H∞ approach for a class of nonlinear systems with …
Fault detection for dissipative nonlinear systems: An energy balance method
J Zhang, DW Ding, Y Ren, X Fan - 2017 29th Chinese Control …, 2017 - ieeexplore.ieee.org
This paper addresses the problem of fault detection for dissipative nonlinear systems. A new
method based on energy balance is proposed for dissipative nonlinear systems. The …
method based on energy balance is proposed for dissipative nonlinear systems. The …