Using Fractional-order Technique and Non-linear Surface to Improve the Performance of the Backstepping Control of Multi-rotor Wind Power Systems-Reference-Cited by-同舟云学术

Using Fractional-order Technique and Non-linear Surface to Improve the Performance of the Backstepping Control of Multi-rotor Wind Power Systems

Published:2024-04-09 Issue: Volume: Page:1-26
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Benbouhenni Habib¹,Yahdou Adil²,Colak Ilhami¹,Bizon Nicu³

Affiliation:

1. Department of Electrical & Electronics Engineering, Faculty of Engineering and Architecture, Nisantasi University, Istanbul, Turkey

2. Department of Electrical Engineering, Faculty of Technology, Laboratoire Génie Electrique et Energies Renouvelables (LGEER), Hassiba Benbouali University of Chlef, Chlef, Algeria

3. Pitești University Center, Pitesti, Romania

Funder

Deanship of Scientific Research at Northern Border University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2024.2332401

Reference78 articles.

1. Self-filtering based on the fault ride-through technique using a robust model predictive control for wind turbine rotor current

2. A new PI(1 +PI) controller to mitigate power ripples of a variable-speed dual-rotor wind power system using direct power control

3. Comparative study of sliding mode control with synergetic control for rotor side inverter of the DFIG for multi-rotor wind power systems;Benbouhenni H.;Majlesi J. Mechatronic Syst.,2023

4. Direct Power Control for Three-Level Multifunctional Voltage Source Inverter of PV Systems Using a Simplified Super-Twisting Algorithm

5. A new PD(1+PI) direct power controller for the variable-speed multi-rotor wind power system driven doubly-fed asynchronous generator

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1. Power regulation of variable speed multi rotor wind systems using fuzzy cascaded control;Scientific Reports;2024-07-16

2. Hardware-in-the-loop simulation to validate the fractional-order neuro-fuzzy power control of variable-speed dual-rotor wind turbine systems;Energy Reports;2024-06