D
Dong-Myung Lee
Researcher at Hongik University
Publications - 98
Citations - 1045
Dong-Myung Lee is an academic researcher from Hongik University. The author has contributed to research in topics: Signal & Voltage. The author has an hindex of 14, co-authored 96 publications receiving 889 citations. Previous affiliations of Dong-Myung Lee include LG Electronics & Samsung.
Papers
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Journal ArticleDOI
Control of Circularly Polarized Electroluminescence in Induced Twist Structure of Conjugate Polymer
TL;DR: Using a theoretical analysis incorporating the Stokes parameter, the twisting angle and birefringence of the aligned conjugated polymer, and the degree of linear polarization in the emitted light are found to make a roughly equal contribution to the degrees of CPEL and CPPL.
Journal ArticleDOI
New Control Scheme for a Unified Power-Quality Compensator-Q With Minimum Active Power Injection
TL;DR: In this paper, the authors proposed a power injection method for the UPQC-Q that takes into account the limitations of the rated voltage capacity of the series compensator, and the phase difference during voltage sag events.
Journal ArticleDOI
A Voltage Sag Supporter Utilizing a PWM-Switched Autotransformer
TL;DR: In this paper, the authors proposed a scheme for voltage sag support based on a pulse width modulated autotransformer, which can correct the voltage by either boosting the input voltage during voltage sag events or reducing the voltage during swell events.
Journal Article
A New Approach to Sensorless Control Method for Brushless DC Motors
TL;DR: In this article, a trapezoidal back-EMF is modelled as an unknown input and the proposed unknown input observer estimating a line-to-line back EMF in real time makes it possible to detect the rotor position.
Proceedings ArticleDOI
Inertia identification for the speed observer of the low speed control of induction machines
TL;DR: This paper proposes a low speed control method using the low precision shaft encoder with speed observer implementing the disturbance torque observer and performs the inertia identification algorithm using the estimated inertia acquired by the periodic test signal.