• 전자공학회논문지
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• 제54권5호
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• pp.11-16
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• 2017

RF MOSFET에서 관찰된 입력 저항의 주파수 종속 특성이 단순화된 입력 등가회로로부터 유도된 pole과 zero 주파수 수식을 사용하여 자세히 분석되었다. 이러한 이론적 분석을 사용하여 저주파에서 입력저항의 감소현상이 포화영역에서 소스와 pinch-off 영역 사이의 채널저항으로부터 발생되는 것을 발견하였다. 이와 같이 저주파에서 입력저항이 감소하는 채널 저항 효과는 채널저항을 변화시키면서 소신호 등가회로 모델링을 수행하여 물리적으로 입증되었다.

• 한국광학회지
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• 제13권2호
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• pp.151-154
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• 2002

선광(all-optical) OR 논리소자가 반도체 광증폭기 (SOA)의 이득포화와 파장변환 특성을 이용하여 구현되었다. 전광(all-optical) OR 논리소자는 이득의 비선형성에 의해 동작되므로 SOA의 이득포화를 충분히 얻기 위해 펌프신호는 SOA의 입력단에서 어븀 첨가 광섬유 증복기(EDFA)에 의해 증폭되었다. 전광 OR논리소자의 동작특성은 2.5 Gbit/s에서 성공적으로 측정되었다.

• 한국광학회지
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• 제14권5호
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• pp.530-534
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• 2003

새로운 전광(all-optical) NOR논리소자가 반도체 광증폭기 (SOA)의 이득포화 특성을 이용하여 처음으로 제안되고 입증되었다. 전광 NOR논리소자는 이득의 비선형성에 의해 동작되므로 SOA의 이득포화를 충분히 얻기 위해 펌프신호는 SOA의 입력단에서 어븀 첨가 광섬유 증폭기에 의해 증폭되었다. 전광 NOR 논리소자의 동작특성은 10 Gbit/s에서 성공적으로 측정되었다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.2143-2146
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• 2003

We propose, for the first time to our knowledge, a novel gain-clamping method for EDFA in WDM Add/Drop networks by introducing a disturbance observer technique. The proposed gain-clamping control input consists of the nominal gain-clamping control such as PI(Proportional and Integral) control and the additional control input for the compensation of the effects caused by channel add/drops. The additional control input is designed using the wellknown disturbance observer technique and can be implemented very easily with general electric elements. We proved the superiority of the new technique over the previous methods by showing simulation result of minimized dips and spikes that appear in power profile of EDFA output.

• 한국정밀공학회지
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• 제23권6호
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• pp.88-95
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• 2006

In this paper, the gain-scheduled control design proposed in the previous paper has been applied to a target tracking system. In such system, it is needed to attenuate disturbance effectively as long as control input satisfies the given constraint on its magnitude. The scheduled gains are derived in the framework of linear matrix inequality(LMI) optimization by means of the MatLab toolbox. Its effectiveness is verified along with the simulation results compared with the conventional optimum constant gain and the scheduled gain control with constant Q matrix cases.

• 한국정밀공학회지
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• 제24권12호
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• pp.65-73
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• 2007

In this paper, the gain scheduled state feedback and disturbance feedforward control design proposed in the previous paper has been applied to a simple matching system and a turret stabilization system. In such systems, it is needed to attenuate disturbance response effectively as long as control input satisfies the given constraint on its magnitude. The scheduled control gains are derived in the framework of linear matrix inequality(LMI) optimization by means of the MatLab toolbox. Its effectiveness is verified along with the simulation results compared with the conventional optimum constant gain control and the scheduled state feedback control cases.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1992년도 하계학술대회 논문집 B
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• pp.597-599
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• 1992

A calculation method for predicting the instantaneous torques by the inductance profiles of a switched reluctance motor (SRM) is presented. The method considers saturation and nonlinearities in the magnetic circuits. The inductance of SRM varies complex according to the input current waveforms and rotor position angle, thus the accurate calculation technique is needed to estimate the inductance value at arbitary input current and rotor position angle. This paper describes how the inductance profiles influence the torque produced by the input current of SRM and, proposes a calculation technique of the permeabilities, reluctances, current waveforms and torques of a 6/4 3-phase SRM.

• International Journal of Automotive Technology
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• 제5권2호
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• pp.89-94
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• 2004

In this paper, a safe control strategy is considered in the situation when a platoon of vehicles need to decelerate rapidly. When the vehicles ate spaced closely, it is known that the reference information should be transmitted to the whole platoon to minimize the undesirable effects of small leader disturbances. However, the vehicle control should also depend on the preceding vehicle position to maintain the desired distance. Tracking the preceding vehicle position can lead to amplification of the control input along the following vehicles, therefore the vehicles in the rearward generally exert larger maximum control input than the vehicles in the front. The theoretical bounds for the $i^{th}$ vehicle control input are calculated using a linear vehicle and controller model. In the simple illustrative example, the designed controller maintains string stability, and the control inputs of the following vehicles stay within bounds.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.786-789
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• 2002

A recurrent artificial neural network (ANN) model is developed to simulate hydrocarbon recovery process at petroleum-contaminated site. The groundwater extraction rate, vacuum pressure, and saturation hydraulic conductivity are selected as the input variables, while the cumulative hydrocarbon recovery volume is considered as the output variable. The experimental data fer establishing the ANN model are from implementation of a multiphase flow model for dual phase remediation process under different input variable conditions. The complex nonlinear and dynamic relationship between input and output data sets are then identified through the developed ANN model. Reasonable agreements between modeling results and experimental data are observed, which reveals high effectiveness and efficiency of the neural network approach in modeling complex hydrocarbon recovery behavior.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 추계종합학술대회 논문집
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• pp.251-254
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• 1999

In this paper V-I(Voltage to Current) converter using the series composite transistor is presented. Due to the series composite transistor employs operating in the saturation region and triode region, the proposed circuit has wide input range at low voltage. The designed V-I converter has simulated by HSPICE using 0.6${\mu}{\textrm}{m}$ n-well CMOS process with a $\pm$2.5V supply voltage. Simulation results show that the THD can be 0.81% at 4 $V_{p-p}$ differential input voltage when frequency of input signal is 10MHz.z.