Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mohamed Elgbaily"'
Publikováno v:
Mathematics, Vol 10, Iss 20, p 3842 (2022)
In this paper, a combined structure of algorithms based on field-oriented control (FOC) and direct torque control (DTC) is proposed for improving the performance of a three-phase induction motor (IM) over a wide range of torque loads. The objective o
Externí odkaz:
https://doaj.org/article/392c0abec78c4b6897fcbae475519503
Autor:
Ikramullah Khosa, Naveed Taimoor, Jahanzeb Akhtar, Khurram Ali, Ateeq Ur Rehman, Mohit Bajaj, Mohamed Elgbaily, Mokhtar Shouran, Salah Kamel
Publikováno v:
Energies, Vol 15, Iss 12, p 4327 (2022)
The electrical power infrastructure of the modern world is advanced, efficient, and robust, yet power outages still occur. In addition to affecting millions of people around the world, these outage events cost billions of dollars to the global econom
Externí odkaz:
https://doaj.org/article/5d1a1d36546e4333bf27552e96fe359d
Publikováno v:
Electronics
Volume 12
Issue 3
Pages: 549
Volume 12
Issue 3
Pages: 549
Direct torque control (DTC) is a promising control algorithm that is characterized by simplicity and effective performance for the AC motors drive systems. The design of the switching table is an important issue that directly affects the performance
Publikováno v:
Machines; Volume 11; Issue 1; Pages: 22
This paper proposes a robust and effective method of direct torque and rotor flux control (DTRFC) strategy for an induction motor (IM). The described scheme ensures the elimination of uncontrollable angles (UCAs) over the entire speed range. This mea
Publikováno v:
IECMA 2022.
This paper introduces analysis, control, and comparison of two benchmarking optimization approaches called Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for Direct Torque Control (DTC) of a three-phase Induction Motor (IM). This study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9eadeaf00c641bbbc63dc41b4589c43
https://orca.cardiff.ac.uk/id/eprint/152784/1/1-s2.0-S2214785322054694-main.pdf
https://orca.cardiff.ac.uk/id/eprint/152784/1/1-s2.0-S2214785322054694-main.pdf
This article presents an investigation of a PV solar system based on Maximum Power Point Tracking (MPPT) using one of the artificial intelligence control techniques. To avoid the problems of the traditional P&O method, the optimization tool of Partic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e245f95b03e9927770289525f5b4b27
https://orca.cardiff.ac.uk/id/eprint/152069/1/engproc-19-00006.pdf
https://orca.cardiff.ac.uk/id/eprint/152069/1/engproc-19-00006.pdf
Autor:
Abraham Ayobamiji Awosusi, Kaan Kutlay, Mehmet Altuntaş, Bakhtiyor Khodjiev, Ephraim Bonah Agyekum, Mokhtar Shouran, Mohamed Elgbaily, Salah Kamel
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 6; Pages: 3288
Int. J. Environ. Res. Public Health
International Journal of Environmental Research and Public Health
Int. J. Environ. Res. Public Health
International Journal of Environmental Research and Public Health
Technological innovations have been a matter of contention, and their environmental consequences remain unresolved. Moreover, studies have extensively evaluated environmental challenges using metrics such as nitrogen oxide emissions, sulfur dioxide,