Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Soufiene Bouallègue"'
Publikováno v:
Drones, Vol 6, Iss 12, p 385 (2022)
Path planning with collision avoidance for unmanned aerial vehicles (UAVs) in environments with moving obstacles is a complex process of navigation, often considered a hard optimization problem. Ordinary resolution algorithms may fail to provide flya
Externí odkaz:
https://doaj.org/article/5a9ec8c6921f423ab49273ed8c2abccf
Publikováno v:
Sensors, Vol 22, Iss 5, p 1826 (2022)
The path planning of Unmanned Aerial Vehicles (UAVs) is a complex and hard task that can be formulated as a Large-Scale Global Optimization (LSGO) problem. A higher partition of the flight environment leads to an increase in route’s accuracy but at
Externí odkaz:
https://doaj.org/article/b637cfd2f26b46a9b9341354ab054f5b
Publikováno v:
Mathematics, Vol 9, Iss 9, p 963 (2021)
This paper presents an enhancement method to improve the performance of the DC-link voltage loop regulation in a Doubly-Fed Induction Generator (DFIG)- based wind energy converter. An intelligent, combined control approach based on a metaheuristics-t
Externí odkaz:
https://doaj.org/article/07aaf6436c0f41deb71ca3fd66caf6a5
Publikováno v:
Mathematics, Vol 8, Iss 11, p 2012 (2020)
A second-order sliding mode (SOSM)-based direct power control (DPC) of a doubly-fed induction generator (DFIG) is introduced in this research paper. Firstly, the DFIG output powers are regulated with the developed SOSM controller-based DPC scheme. Th
Externí odkaz:
https://doaj.org/article/a61efd417625444c8f1ab7adf4535dfb
Publikováno v:
Mathematical and Computational Applications, Vol 24, Iss 3, p 77 (2019)
This study presents an intelligent metaheuristics-based design procedure for the Proportional-Integral (PI) controllers tuning in the direct power control scheme for 1.5 MW Doubly Fed Induction Generator (DFIG) based Wind Turbine (WT) systems. The PI
Externí odkaz:
https://doaj.org/article/ae9a5222a40049b3a5b5c5f8dec6500e
Autor:
Khaoula Ghefiri, Aitor J. Garrido, Eugen Rusu, Soufiene Bouallègue, Joseph Haggège, Izaskun Garrido
Publikováno v:
Energies, Vol 11, Iss 11, p 2989 (2018)
Energy originating in tidal and ocean currents appears to be more intense and predictable than other renewables. In this area of research, the Tidal Stream Generator (TSG) power plant is one of the most recent forms of renewable energy to be develope
Externí odkaz:
https://doaj.org/article/f345ae183dfe48dda58bce0b1dae5827
Publikováno v:
Sensors, Vol 18, Iss 5, p 1317 (2018)
Artificial intelligence technologies are widely investigated as a promising technique for tackling complex and ill-defined problems. In this context, artificial neural networks methodology has been considered as an effective tool to handle renewable
Externí odkaz:
https://doaj.org/article/1660d9d312ec4c7eb4a94c609af9db79
Publikováno v:
Energies, Vol 10, Iss 7, p 862 (2017)
The latest forecasts on the upcoming effects of climate change are leading to a change in the worldwide power production model, with governments promoting clean and renewable energies, as is the case of tidal energy. Nevertheless, it is still necessa
Externí odkaz:
https://doaj.org/article/3d5a5b9c5f83479c99c9bbe4bd7f3743
Publikováno v:
IEEE Journal of Oceanic Engineering. 44:1058-1076
Numerous control schemes have been proposed to reach a more efficient power generation using Wells-turbine-based oscillating-water-column power plants. Most of these control strategies aim to avoid the stalling behavior, a feature of the Wells turbin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1475dd811a17943dc9da2f5c1b838e3c
https://doi.org/10.1109/joe.2018.2848778
https://doi.org/10.1109/joe.2018.2848778
Publikováno v:
Transactions of the Institute of Measurement and Control. 41:3688-3704
In this paper, a novel systematic method for the polynomial controllers (denoted as RST controllers) design and tuning is proposed and successfully implemented based on an epsilon-multiobjective particle swarm optimization (ε-MOPSO) algorithm. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d90e1a487e117374467d63e6830f7ec4
https://doi.org/10.1177/0142331219834994
https://doi.org/10.1177/0142331219834994