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

This publication has 44 references indexed in Scilit:

• Robust control technique for wind turbine system with interval type-2 fuzzy strategy on a dual star induction generator
  Energy Reports, 2024
• Using neural network super‐twisting sliding mode to improve power control of a dual‐rotor wind turbine system in normal and unbalanced grid fault modes
  International Journal of Circuit Theory and Applications, 2024
• A new PD(1+PI) direct power controller for the variable-speed multi-rotor wind power system driven doubly-fed asynchronous generator
  Energy Reports, 2022
• A direct vector control based on modified SMC theory to control the double-powered induction generator-based variable-speed contra-rotating wind turbine systems
  Energy Reports, 2022
• Modified Super Twisting algorithm based sliding mode control for LVRT enhancement of DFIG driven wind system
  Energy Reports, 2022
• Power Control and Management of DFIGs Wind Farm Equipped with Aggregation Methods by Using Local Supervision Unit Based on S-Function Builder
  Journal of Control, Automation and Electrical Systems, 2022
• Robustification of the H∞ controller combined with fuzzy logic and PI&PID-Fd for hybrid control of Wind Energy Conversion System Connected to the Power Grid Based on DFIG
  Energy Reports, 2021
• Enhanced control technique for a sensor-less wind driven doubly fed induction generator for energy conversion purpose
  Energy Reports, 2021
• Integral sliding mode control for DFIG based WECS with MPPT based on artificial neural network under a real wind profile
  Energy Reports, 2021
• New intelligent direct power control of DFIG-based wind conversion system by using machine learning under variations of all operating and compensation modes
  Energy Reports, 2021