Hardware-in-the-loop simulation to validate the fractional-order neuro-fuzzy power control of variable-speed dual-rotor wind turbine systems

Benbouhenni, Habib; Yessef, Mourad; Bizon, Nicu; Kadi, Sara; Bossoufi, Badre; Alhejji, Ayman

doi:10.1016/j.egyr.2024.04.049

Energy Reports

2024

DOI: 10.1016/j.egyr.2024.04.049

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Hardware-in-the-loop simulation to validate the fractional-order neuro-fuzzy power control of variable-speed dual-rotor wind turbine systems

Habib Benbouhenni,

Mourad Yessef,

Nicu Bizon

et al.

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2024

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Cited by 2 publications

References 44 publications

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Experimental Assessment of a Dual Super-Twisting Control Technique of Variable-Speed Multi-Rotor Wind Turbine Systems

Benbouhenni,

Yessef,

Bizon

et al. 2024

IEEE Access

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Experimental Assessment of a Dual Super-Twisting Control Technique of Variable-Speed Multi-Rotor Wind Turbine Systems

Benbouhenni,

Yessef,

Bizon

et al. 2024

IEEE Access

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Adaptive passive fault tolerant control of DFIG-based wind turbine using a self-tuning fractional integral sliding mode control

Bouguettah,

Messadi,

Kemih

et al. 2024

Front. Energy Res.

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Controlling variable wind speed turbine (VWT) system based on a doubly-fed induction generator (DFIG) is a challenging task. It requires a control law that is both adaptable and robust enough to handle the complex dynamics of the closed control loop system. Sliding mode control (SMC) is a robust control technology that has shown good performance when employed as a passive fault-tolerant control for wind energy systems. To improve the closed control loop of VWT based on DFIG with the aim of improving energy efficiency, even in presence of nonlinearities and a certain range of bounded parametric uncertainties, whether electrically or mechanically, an adaptive passive fault tolerant control (AP-FTC) based on a self-tuning fractional integral sliding mode control law (ST-FISMC) developed from a novel hyperbolic fractional surface is proposed in this paper. ST-FISMC introduces a nonlinear hyperbolic function into the sliding manifold for self-tuning adaptation of control law, while fractional integral of the control law smooths discontinuous sign function to reduce chattering. Additionally, this work introduces an adaptive observer, developed and proved based on a chosen Lyapunov function. This observer is designed to estimate variations in electrical parameters and stator flux, ensuring sensorless decoupling in indirect field- oriented control (SI-FOC) of DFIG. Lyapunov theory is also used to prove stability of states vectors in closed control loop with presence of bounded parameters uncertainties or external disturbances. Simulation results show that the proposed approach offers better performance in capturing optimal wind energy, as well as the ability to regulate active/reactive power and high resilience in presence of occurring parameter uncertainties or external disturbances.

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Hardware-in-the-loop simulation to validate the fractional-order neuro-fuzzy power control of variable-speed dual-rotor wind turbine systems

Cited by 2 publications

References 44 publications

Experimental Assessment of a Dual Super-Twisting Control Technique of Variable-Speed Multi-Rotor Wind Turbine Systems

Experimental Assessment of a Dual Super-Twisting Control Technique of Variable-Speed Multi-Rotor Wind Turbine Systems

Adaptive passive fault tolerant control of DFIG-based wind turbine using a self-tuning fractional integral sliding mode control

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