Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Tae Heoung Kim"'
Publikováno v:
Journal of the Institute of Electronics and Information Engineers. 59:29-37
Publikováno v:
THE TRANSACTION OF THE KOREAN INSTITUTE OF ELECTRICAL ENGINEERS P. 70:240-244
Publikováno v:
THE TRANSACTION OF THE KOREAN INSTITUTE OF ELECTRICAL ENGINEERS P. 70:245-249
Autor:
Tae Heoung Kim
Publikováno v:
Journal of Electrical Engineering & Technology. 14:1281-1286
A Dual three-phase winding configuration in a 12-slot 10-pole Brushless Alternative Current Synchronous Motor (BLAC) has been adopting in electrical power steering systems. The main aim of this winding configuration is to get a fault tolerance capabi
Autor:
Tae Heoung Kim
Publikováno v:
Journal of the Korean Magnetics Society. 28:10-16
정현파 전류 구동의 분수 슬롯을 갖는 영구자석 동기 전동기는 코깅 토크 저감 측면에서 장점을 갖기 때문에 하이브리드 및 전기자동차의 전기조향장치시스템에 적용이 가능하다. 이러한
Publikováno v:
Journal of Electrical Engineering and Technology. 11:109-116
This paper proposes an analytic model for four-switch inverter (FSI)-driven wye (Y) or delta (Δ)-connected motors with a current ripple reduction algorithm. FSIs employ four switches in controlling three-phase load instead of using six switches. The
Autor:
Jin-Woo Jung, Dong Quang Dang, Ton Duc Do, Jackson John Justo, Han Ho Choi, Nga Thi-Thuy Vu, Tae Heoung Kim
Publikováno v:
Journal of Power Electronics. 15:753-762
This paper presents a nonlinear sliding mode control (SMC) scheme with a variable damping ratio for interior permanent magnet synchronous motors (IPMSMs). First, a nonlinear sliding surface whose parameters change continuously with time is designed.
Autor:
Tae Heoung Kim
Publikováno v:
International Journal of Applied Electromagnetics and Mechanics. 47:1-9
Sliding Mode Control of SPMSM Drivers: An Online Gain Tuning Approach with Unknown System Parameters
Publikováno v:
Journal of Power Electronics. 14:980-988
This paper proposes an online gain tuning algorithm for a robust sliding mode speed controller of surface-mounted permanent magnet synchronous motor (SPMSM) drives. The proposed controller is constructed by a fuzzy neural network control (FNNC) term
Publikováno v:
International Journal of Applied Electromagnetics & Mechanics. 2007, Vol. 25 Issue 1-4, p765-770. 6p. 3 Diagrams, 4 Graphs.