Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Lefei Ge"'
Publikováno v:
The Journal of Engineering (2019)
To effectively find a valid solution in the development process of electrical machines, it is essential to predict machine iron loss in the pre-design stage. In guidance on the choice of the most suitable configuration of the switched reluctance mach
Externí odkaz:
https://doaj.org/article/79cef8579cc04c7592723d851057a9a8
Publikováno v:
AIP Advances, Vol 4, Iss 4, Pp 047130-047130-9 (2014)
According to the strong nonlinear electromagnetic characteristics of switched reluctance machine (SRM), a novel accurate modeling method is proposed based on hybrid trained wavelet neural network (WNN) which combines improved genetic algorithm (GA) w
Externí odkaz:
https://doaj.org/article/5b4586bc6e944a5f9a76aa9ccaaad6dc
Publikováno v:
IEEE Transactions on Industrial Electronics. 70:11013-11021
Publikováno v:
IEEE Transactions on Industrial Electronics. 70:3561-3570
Publikováno v:
Journal of Electrical Engineering & Technology. 18:981-989
Publikováno v:
IEEE Transactions on Power Electronics. 37:37-41
In this letter, a transformed unsaturated inductance characteristic-based method is proposed for the rotor position of the switched reluctance machine. Due to the magnetic saturation effect, the phase inductance characteristics have a narrow linear r
Publikováno v:
IEEE Transactions on Power Electronics. 36:13285-13292
A new method to detect the initial rotor position of switched reluctance machine (SRM) is presented in this article. Unlike most conventional position estimation methods, the proposed method does not need any extra premeasurement and only the data wi
Publikováno v:
2022 25th International Conference on Electrical Machines and Systems (ICEMS).
Publikováno v:
2022 25th International Conference on Electrical Machines and Systems (ICEMS).
Publikováno v:
2022 25th International Conference on Electrical Machines and Systems (ICEMS).