Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Hamad Alharkan"'
Autor:
Hamad Alharkan
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 9, p 421 (2024)
This paper investigated a new speed regulator using an adaptive transitioning policy iteration learning technique for the variable reluctance motor (VRM) drive. A transitioning strategy is used in this unique scheme to handle the nonlinear behavior o
Externí odkaz:
https://doaj.org/article/210f2b4798f343afa83ba53433c9669c
Autor:
Hamad Alharkan
Publikováno v:
Energies, Vol 16, Iss 13, p 4839 (2023)
The torque ripples in a switched reluctance motor (SRM) are minimized via an optimal adaptive dynamic regulator that is presented in this research. A novel reinforcement neural network learning approach based on machine learning is adopted to find th
Externí odkaz:
https://doaj.org/article/f78c2a77de9e4f46842e9ba56815a573
Publikováno v:
IEEE Access, Vol 9, Pp 9926-9936 (2021)
In this article, a novel Q-learning scheduling method for the current controller of a switched reluctance motor (SRM) drive is investigated. The Q-learning algorithm is a class of reinforcement learning approaches that can find the best forward-in-ti
Externí odkaz:
https://doaj.org/article/f04c1998fa3c4b4883f00a5c1bda1856
Publikováno v:
Sensors, Vol 23, Iss 2, p 945 (2023)
The integration of solar energy with a power system brings great economic and environmental benefits. However, the high penetration of solar power is challenging due to the operation and planning of the existing power system owing to the intermittenc
Externí odkaz:
https://doaj.org/article/447d1fe02d824db3aead06fe137fc899
Autor:
Dora Hamad AlHarkan
Publikováno v:
Oman Journal of Ophthalmology, Vol 13, Iss 1, Pp 3-12 (2020)
Vernal keratoconjunctivitis is a chronic inflammatory disease of the ocular surface and one of the worst types of allergic conjunctival diseases. Because of its chronic nature, it can damage the cornea, resulting in sight-threatening complications if
Externí odkaz:
https://doaj.org/article/a05950725ea048e681b1e67d88d8cbc3
Publikováno v:
Middle East African Journal of Ophthalmology. 29:132-140
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dd2eca77c16e6b079a68e7ca6ec2c8d
https://doi.org/10.4103/meajo.meajo_71_22
https://doi.org/10.4103/meajo.meajo_71_22
Publikováno v:
2020 52nd North American Power Symposium (NAPS).
A model dependent heuristic dynamic programming (MDHDP) is presented in this paper to regulate the voltage and frequency of a virtual inertia-based grid-connected inverter. To overcome the inertialess and fast-responding characteristics of the conven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00d01580babe7525c76ea7931d2564e6
https://doi.org/10.1109/naps50074.2021.9449786
https://doi.org/10.1109/naps50074.2021.9449786
Publikováno v:
2020 52nd North American Power Symposium (NAPS).
This paper investigated the speed change response of the scheduled Q-learning adaptive control of Switched Reluctance Motor (SRM) drives. This novel algorithm includes a scheduling approach to permit controlling the nonlinear domain of an SRM using a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5ab94bc389b949dcc8be8cbc5b897ce
https://doi.org/10.1109/naps50074.2021.9449794
https://doi.org/10.1109/naps50074.2021.9449794
Publikováno v:
2020 IEEE Power and Energy Conference at Illinois (PECI).
This paper presents a novel technique for controlling the current of Switched Reluctance Motor (SRM) drives based on reinforcement learning. The proposed current controller is based on a new scheduled Q-learning. Solving the infinite horizon linear q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cea30285cdb50da5982ea48b8c2041fb
https://doi.org/10.1109/peci48348.2020.9064643
https://doi.org/10.1109/peci48348.2020.9064643
Value Gradient Learning Approach in Power and Frequency Regulation of Grid-Connected Synchronverters
Publikováno v:
2020 IEEE Power and Energy Conference at Illinois (PECI).
In this paper, a neural network adaptive critic design (ACD) method based on value gradient learning (VGL) is used to optimally control a grid-connected synchronverter. The main drawback of the traditional synchronverters is their infeasibility to fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d257aebdb99d0a284b613fe3bc555053
https://doi.org/10.1109/peci48348.2020.9064641
https://doi.org/10.1109/peci48348.2020.9064641