• 한국산학기술학회논문지
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• 제11권4호
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• pp.1222-1228
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• 2010

고속 PMIC를 위한 빠른 천이 응답 시간을 가지는 CMOS LDO 레귤레이터를 설계하였다. 제안하는 LDO 레귤레이터 회로는 기준전압회로와 오류증폭회로, 파워 트랜지스터 등으로 이루어지며, 출력전압의 안정성을 높이기 위하여 오류증폭 회로와 파워 트랜지스터 사이에 버퍼로써 2단 광대역 OTA를 추가하였다. 기존의 연구에서 제안된 가장 간단하게 구현할 수 있는 버퍼로는 소스팔로워 구조가 있으나, 출력 스윙이 좁고 신호 대 잡음비가 저하되는 문제점이 있었다. 본 논문에서는 2단 광대역 OTA를 버퍼로 사용하여 LDO 전압 레귤레이터의 출력 특성을 개선하였다. $0.5{\mu}m$ CMOS 공정을 이용하여 모의실험 한 결과, 라인 레귤레이션은 16 mV/V, 부하 레귤레이션 0.007 %/mA를 얻었다.

• 정보처리학회논문지C
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• 제10C권5호
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• pp.617-624
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• 2003

본 논문에서는 CDMA 시스템에서 전력제어의 성능을 향상시킬 수 있는 수정된 분산전력제어(M-DCPC) 알고리즘을 제안하였다. 제안한 방법의 제어 성능을 보이기 위해 각 이동국의 SIR 응답 속도와 셀(cell) 내에서의 Outage 확률을 기존의 DCPC, CSOPC와 LQPC과 비교하였다. SIR 명령이 변화되는 상황에서, M-DCPC의 SIR 응답 속도가 기존의 다른 알고리즘들에 비해 더 빠르고 적은 오버슈트를 가짐을 모의실험을 통해 확인하였다. Outage의 경우, M-DCPC의 수렴속도가 CSOPC의 수렴속도보다 더 빠름을 확인하였다 CSOPC의 경우 반복횟수가 거듭될수록 SIR 명령에 대한 응답 속도가 느려지게 되는데, 이 때 SIR 명령치가 변화할 경우, CSOPC에서는 다량의 Outage가 발생하지만, M-DCPC는 거의 영향을 받지 않는 것을 확인할 수 있었다.

• 한국항행학회논문지
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• 제18권2호
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• pp.107-113
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• 2014

본 논문에서는 무인항공기용 소형 터보제트엔진에 대해 압축기 서지현상 및 화염소실을 방지하면서 과도응답 특성을 개선하는 제어기를 설계하였다. 인공신경망과 PID 제어 알고리즘을 적용하는 터보제트엔진 제어기를 설계하고 인공신경망 역전파 알고리즘을 사용하였다. 터보제트 엔진의 가 감속 시 서지현상과 flame-out 현상을 방지하기 위해 연료 유량 제어 입력을 인공신경망 PID 제어기로 생성한다. 생성된 연료 유량 제어 입력은 신속하고 안전하게 원하는 속도로 수렴할 수 있도록 제어기를 설계한다. MATLAB을 이용한 시뮬레이션을 통해 이득 값에 따른 응답특성 비교 분석 및 신속하고 안전하게 원하는 속도로 수렴하는 제어성능을 확인하였다.

• Journal of Mechanical Science and Technology
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• 제19권3호
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• pp.778-791
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• 2005

A novel pneumatic artificial muscle actuator (PAM actuator), which has achieved increased popularity to provide the advantages such as high strength and high power/weight ratio, low cost, compactness, ease of maintenance, cleanliness, readily available and cheap power source, inherent safety and mobility assistance to humans performing tasks, has been regarded during the recent decades as an interesting alternative to hydraulic and electric actuators. However, some limitations still exist, such as the air compressibility and the lack of damping ability of the actuator bring the dynamic delay of the pressure response and cause the oscillatory motion. Then it is not easy to realize the performance of transient response of pneumatic artificial muscle manipulator (PAM manipulator) due to the changes in the external inertia load with high speed. In order to realize satisfactory control performance, a variable damper-Magneto­Rheological Brake (MRB), is equipped to the joint of the manipulator. Superb mixture of conventional PID controller and a phase plane switching control method brings us a novel controller. This proposed controller is appropriate for a kind of plants with nonlinearity, uncertainties and disturbances. The experiments were carried out in practical PAM manipulator and the effectiveness of the proposed control algorithm was demonstrated through experiments, which had proved that the stability of the manipulator can be improved greatly in a high gain control by using MRB with phase plane switching control method and without regard for the changes of external inertia loads.

• Journal of Electrical Engineering and Technology
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• 제13권1호
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• pp.168-180
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• 2018

In order to achieve the high quality output voltage of single-phase voltage source inverters, in this paper an Adaptive Complementary Sliding Mode Control (ACSMC) is proposed. Firstly, the dynamics model of the single-phase inverter with lumped uncertainty including parameter variations and external disturbances is derived. Then, the conventional Sliding Mode Control (SMC) and Complementary Sliding Mode Control (CSMC) are introduced separately. However, when system parameters vary or external disturbance occurs, the controlling performance such as tracking error, response speed et al. always could not satisfy the requirements based on the SMC and CSMC methods. Consequently, an ACSMC is developed. The ACSMC is composed of a CSMC term, a compensating control term and a filter parameters estimator. The compensating control term is applied to compensate for the system uncertainties, the filter parameters estimator is used for on-line LC parameter estimation by the proposed adaptive law. The adaptive law is derived using the Lyapunov theorem to guarantee the closed-loop stability. In order to decrease the control system cost, an inductor current estimator is developed. Finally, the effectiveness of the proposed controller is validated through Matlab/Simulink and experiments on a prototype single-phase inverter test bed with a TMS320LF28335 DSP. The simulation and experimental results show that compared to the conventional SMC and CSMC, the proposed ACSMC control strategy achieves more excellent performance such as fast transient response, small steady-state error, and low total harmonic distortion no matter under load step change, nonlinear load with inductor parameter variation or external disturbance.

• Journal of Welding and Joining
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• 제12권1호
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• pp.59-72
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• 1994

This paper presents an on-line quality monitoring and control method to obtain a uniform weld quality in gas metal arc welding (GMAW) processes. The geometrical parameters of the weld pool such as the top bead width and the penetration depth plus half back width are utilized to assess the integrity of the weld quality. Since a good quality weld is characterized by a relatively high depth-to-width ratio in its dimensions, the second geometrical parameter is regulated to a desired one. The monitoring variables are the surface temperatures measured at various points on the top surface of the weldment which are strongly related to the formation of the weld pool The relationship between the measured temperatures and the weld pool size is implemented on the multilayer perceptrons which are powerful for realization of complex mapping characteristics through training by samples. For on-line quality monitoring and control, it is prerequisite to estimate the weld pool sizes in the region of transient states. For this purpose, the time history of the surface temperatures is used as the input to the neural estimator. The control purpose is to obtain a uniform weld quality. In this research, the weld pool size is directly regulated to a desired one. The proposed controller is composed of a neural pool size estimator, a neural feedforward controller and a conventional feedback controller. The pool size estimator predicts the weld pool size under growing. The feedforward controller compensates for the nonlinear characteristics of the welding process. A series of simulation studies shows that the proposed control method improves the overall system response in the presence of changes in torch travel speed during GMA welding and guarantees the uniform weld quality.

• 조명전기설비학회논문지
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• 제20권3호
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• pp.53-61
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• 2006

본 논문은 유도전동기 드라이브의 고성능 제어를 위한 적응 퍼지-뉴로 제어기를 제시한다. 이 알고리즘의 설계는 퍼지제어와 신경회로망을 사용하는 퍼지-신경회로망 제어기에 기초한다. 적응 퍼지-뉴로 제어기는 신경회로망의 학습패턴과 같은 퍼지 룰을 사용하고 또한 지령값과 실제값 사이의 오차를 최소화하기 위하여 신경회로망의 뉴런사이의 하중을 역전파 알고리즘 방법을 사용하여 조절한다. 적응 기준 모델 설계는 기준모델의 출력과 전동기 속도 사이의 오차와 오차 변화분을 기초로 한 퍼지 로직에 의하여 실행되는 적응 메카니즘을 제시한다. 적응 퍼지-뉴로 제어기의 제어 성능은 다양한 동작 상태에 대한 분석으로 평가한다. 제안한 제어시스템의 실험 결과는 고성능과 파리미터 변동과 정상상태 정확성, 순시응답의 강인성을 가진다.

• 전기전자학회논문지
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• 제24권4호
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• pp.1074-1080
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• 2020

본 논문은 공정, 전압 및 온도에 둔감하며, 출력전압 상태에 따라 3가지 동작모드가 가능한 디지털 제어 벅 변환기를 제안한다. 기존 디지털 제어 방식의 벅 변환기는 A/D 변환기, 카운터 및 딜레이 라인 회로를 사용하여서 정확한 출력 전압을 제어하였다. 정확한 출력 전압 제어를 위해서는 카운터 및 딜레이 라인 비트 수를 증가시켜서 회로 복잡성 증가 문제점을 지니고 있다. 이러한 회로의 복잡성 문제를 해결하기 위해서 제안된 회로에서는 8비트 및 16 비트 양 방향 쉬프트 레지스터를 사용하고 최대 128비트 해상도까지 듀티비 제어가 가능한 벅 변환기를 제안한다. 제안하는 벅 변환기는 CMOS 180 나노 공정 1-poly 6-metal을 사용하여 설계 및 제작하였으며, 2.7V~3.6V의 입력 전압과 0.9~1.8V의 출력 전압을 생성하고, 리플전압은 30mV, 전력 효율은 최대 92.3%, 과도기 응답속도는 4us이다.

• Advances in nano research
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• 제10권2호
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• pp.151-163
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• 2021

The main target of this study is to investigate nonlinear transient responses of moving polymer nano-size plates fortified by means of Graphene Platelets (GPLs) and resting on a Winkler-Pasternak foundation under a transverse pressure force and a temperature variation. Two graphene spreading forms dispersed through the plate thickness are studied, and the Halpin-Tsai micro-mechanics model is used to obtain the effective Young's modulus. Furthermore, the rule of mixture is employed to calculate the effective mass density and Poisson's ratio. In accordance with the first order shear deformation and von Karman theory for nonlinear systems, the kinematic equations are derived, and then nonlocal strain gradient scheme is used to reflect the effects of nonlocal and strain gradient parameters on small-size objects. Afterwards, a combined approach, kinetic dynamic relaxation method accompanied by Newmark technique, is hired for solving the time-varying equation sets, and Fortran program is developed to generate the numerical results. The accuracy of the current model is verified by comparative studies with available results in the literature. Finally, a parametric study is carried out to explore the effects of GPL's weight fractions and dispersion patterns, edge conditions, softening and hardening factors, the temperature change, the velocity of moving nanoplate and elastic foundation stiffness on the dynamic response of the structure. The result illustrates that the effects of nonlocality and strain gradient parameters are more remarkable in the higher magnitudes of the nanoplate speed.

• International Journal of Computer Science & Network Security
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• 제22권3호
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• pp.37-44
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• 2022

Plug-in Hybrid electric vehicles (PHEV) show great potential to reduce gas emission, improve fuel efficiency and offer more driving range flexibility. Moreover, PHEV help to preserve the eco-system, climate changes and reduce the high demand for fossil fuels. To address this; some basic components and energy resources have been used, such as batteries and proton exchange membrane (PEM) fuel cells (FCs). However, the FC remains unsatisfactory in terms of power density and response. In light of the above, an electric storage system (ESS) seems to be a promising solution to resolve this issue, especially when it comes to the transient phase. In addition to the FC, a storage system made-up of an ultra-battery UB is proposed within this paper. The association of the FC and the UB lead to the so-called Fuel Cell Battery Electric Vehicle (FCBEV). The energy consumption model of a FCBEV has been built considering the power losses of the fuel cell, electric motor, the state of charge (SOC) of the battery, and brakes. To do so, the implementing a reinforcement-learning energy management strategy (EMS) has been carried out and the fuel cell efficiency has been optimized while minimizing the hydrogen fuel consummation per 100km. Within this paper the adopted approach over numerous driving cycles of the FCBEV has shown promising results.