[HTML][HTML] Sliding mode control of wind energy conversion systems: Trends and applications

Y Mousavi, G Bevan, IB Kucukdemiral… - … and Sustainable Energy …, 2022 - Elsevier
Motivated by the increasing concerns over environmental challenges such as global
warming and exhaustion of fossil-fuel reserves, the renewable energy industry has become …

Model‐based vs data‐driven adaptive control: an overview

M Benosman - International Journal of Adaptive Control and …, 2018 - Wiley Online Library
In this paper, we present an overview of adaptive control by contrasting model‐based
approaches with data‐driven approaches. Indeed, we propose to classify adaptive …

[HTML][HTML] Data-driven torque and pitch control of wind turbines via reinforcement learning

J Xie, H Dong, X Zhao - Renewable Energy, 2023 - Elsevier
This paper addresses the torque and pitch control problems of wind turbines. The main
contribution of this work is the development of an innovative reinforcement learning (RL) …

Super-twisting sliding mode direct power control of a brushless doubly fed induction generator

R Sadeghi, SM Madani, M Ataei… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
This paper proposes and implements a super-twisting sliding mode direct power control
(SSM-DPC) strategy for a brushless doubly fed induction generator (BDFIG). DPC has fast …

Adaptive super-twisting sliding mode control for maximum power point tracking of PMSG-based wind energy conversion systems

D Zholtayev, M Rubagotti, TD Do - Renewable Energy, 2022 - Elsevier
This paper proposes a super-twisting adaptive sliding mode control law for maximum power
point tracking of wind energy conversion systems based on permanent magnet synchronous …

DFIG wind turbine sliding mode control with exponential reaching law under variable wind speed

Y Liu, Z Wang, L Xiong, J Wang, X Jiang, G Bai… - International Journal of …, 2018 - Elsevier
A sliding mode control (SMC) scheme of doubly fed induction generator (DFIG) wind turbine
with a novel exponential reaching law (NERL) is proposed in this paper. The DFIG wind …

Modified vector controlled DFIG wind energy system based on barrier function adaptive sliding mode control

TSLV Ayyarao - Protection and Control of Modern Power …, 2019 - ieeexplore.ieee.org
Increased penetration of wind energy systems has serious concerns on power system
stability. In spite of several advantages, doubly fed induction generator (DFIG) based wind …

Active and reactive power control for wind turbines based DFIG using LQR controller with optimal Gain‐scheduling

A Radaideh, M Bodoor… - Journal of Electrical and …, 2021 - Wiley Online Library
This paper proposes an optimal gain‐scheduling for linear quadratic regulator (LQR) control
framework to improve the performance of wind turbines based Doubly Fed Induction …

Convergence enhancement of super-twisting sliding mode control using artificial neural network for DFIG-based wind energy conversion systems

I Sami, S Ullah, SU Amin, A Al-Durra, N Ullah… - IEEE Access, 2022 - ieeexplore.ieee.org
The smooth and robust injection of wind power into the utility grid requires stable, robust,
and simple control strategies. The super-twisting sliding mode control (STSMC), a variant of …

Performance enhancement of the artificial neural network–based reinforcement learning for wind turbine yaw control

A Saenz‐Aguirre, E Zulueta, U Fernandez‐Gamiz… - Wind …, 2020 - Wiley Online Library
The yaw angle control of a wind turbine allows maximization of the power absorbed from the
wind and, thus, the increment of the system efficiency. Conventionally, classical control …