Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Jong-Min Ahn"'
Publikováno v:
IEEE Access, Vol 11, Pp 141241-141250 (2023)
This paper proposes an evolved quasi-3D analysis method (EQAM) that can extremely reduce analysis time by applying it to models where 3D analysis is essential. The conventional quasi-3D analysis is a method that can equalize a 3D analysis with multip
Externí odkaz:
https://doaj.org/article/f7cf13b294784e798cc5c898daeed8ed
Publikováno v:
IEEE Access, Vol 9, Pp 41174-41183 (2021)
Motor design can be said as multi-modal optimization problem, as many performances should be considered. In addition, a time-consuming finite element method (FEM) is required for accurate analysis of the motor, and such computational burden becomes w
Externí odkaz:
https://doaj.org/article/52ea7819dfee4b77beec3c61712d173f
Publikováno v:
Journal of Institute of Control, Robotics and Systems. 28:492-498
Publikováno v:
Journal of the Korean Magnetics Society. 32:93-99
Autor:
Jong-Min Ahn, Dong-Kuk Lim
Publikováno v:
2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC).
Publikováno v:
Journal of Electrical Engineering & Technology. 16:429-436
In this paper, territory particle swarm optimization (TPSO) is proposed for the optimal design of surface mounted permanent magnet synchronous motor (SPMSM) for high altitude long endurance (HALE) unmanned aerial vehicle (UAV). The proposed algorithm
Publikováno v:
Processes
Volume 9
Issue 9
Processes, Vol 9, Iss 1490, p 1490 (2021)
Volume 9
Issue 9
Processes, Vol 9, Iss 1490, p 1490 (2021)
In this paper, subdivided kriging multi-objective optimization (SKMOO) is proposed for the optimal design of interior permanent magnet synchronous motor (IPMSM). The SKMOO with surrogate kriging model can obtain a uniform and accurate pareto front se
Publikováno v:
Journal of the Korean Society for Aeronautical & Space Sciences. 46:141-149
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 233:1611-1628
This paper investigates experimental evaluation via flight tests for applying adaptive neural network controller to a flying-wing type unmanned aerial vehicle experiencing partial wing-loss. For this, six-degree-of-freedom numerical model is construc
Publikováno v:
International Journal of Aeronautical and Space Sciences. 18:290-299
Reconfigurable flight control using various kinds of adaptive control methods has been studied since the 1970s to enhance the survivability of aircraft in case of severe in-flight failure. Early studies were mainly focused on the failure of actuators