• 제목/요약/키워드: feed-forward

검색결과 536건 처리시간 0.021초

높은 PSRR을 갖는 Low-Dropout(LDO) 레귤레이터 (High PSRR Low-Dropout(LDO) Regulator)

  • 김인혜;노정진
    • 전기전자학회논문지
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    • 제20권3호
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    • pp.318-321
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    • 2016
  • IoT 산업이 빠르게 성장하면서 전원 관리 집적회로의 중요성이 부각되고 있다. 본 논문에서는 리플 Subtractor, 피드 포워드 커패시터, OTA를 이용한 LDO 구조를 제안한다. 이를 통해 10MHz가 넘는 고주파 영역에서도 -40dB 이상 높은 전원 전압 제거비(PSRR)를 얻었다. 설계된 Low-Dropout(LDO) 레귤레이터는 $0.18{\mu}m$ CMOS 공정에서 설계되었으며 시뮬레이션 결과 PSRR은 부하 전류 40mA, 500kHz에서 -73.4dB다. 최대 구동 가능 전류는 40mA이다.

Rapid prediction of long-term deflections in composite frames

  • Pendharkar, Umesh;Patel, K.A.;Chaudhary, Sandeep;Nagpal, A.K.
    • Steel and Composite Structures
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    • 제18권3호
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    • pp.547-563
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    • 2015
  • Deflection in a beam of a composite frame is a serviceability design criterion. This paper presents a methodology for rapid prediction of long-term mid-span deflections of beams in composite frames subjected to service load. Neural networks have been developed to predict the inelastic mid-span deflections in beams of frames (typically for 20 years, considering cracking, and time effects, i.e., creep and shrinkage in concrete) from the elastic moments and elastic mid-span deflections (neglecting cracking, and time effects). These models can be used for frames with any number of bays and stories. The training, validating, and testing data sets for the neural networks are generated using a hybrid analytical-numerical procedure of analysis. Multilayered feed-forward networks have been developed using sigmoid function as an activation function and the back propagation-learning algorithm for training. The proposed neural networks are validated for an example frame of different number of spans and stories and the errors are shown to be small. Sensitivity studies are carried out using the developed neural networks. These studies show the influence of variations of input parameters on the output parameter. The neural networks can be used in every day design as they enable rapid prediction of inelastic mid-span deflections with reasonable accuracy for practical purposes and require computational effort which is a fraction of that required for the available methods.

Practical Model for Predicting Beta Transus Temperature of Titanium Alloys

  • Reddy, N.S.;Choi, Hyun Ji;Young, Hur Bo
    • 한국재료학회지
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    • 제24권7호
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    • pp.381-387
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    • 2014
  • The ${\beta}$-transus temperature in titanium alloys plays an important role in the design of thermo-mechanical treatments. It primarily depends on the chemical composition of the alloy and the relationship between them is non-linear and complex. Considering these relationships is difficult using mathematical equations. A feed-forward neural-network model with a back-propagation algorithm was developed to simulate the relationship between the ${\beta}$-transus temperature of titanium alloys, and the alloying elements. The input parameters to the model consisted of the nine alloying elements (i.e., Al, Cr, Fe, Mo, Sn, Si, V, Zr, and O), whereas the model output is the ${\beta}$-transus temperature. The model developed was then used to predict the ${\beta}$-transus temperature for different elemental combinations. Sensitivity analysis was performed on a trained neural-network model to study the effect of alloying elements on the ${\beta}$-transus temperature, keeping other elements constant. Very good performance of the model was achieved with previously unseen experimental data. Some explanation of the predicted results from the metallurgical point of view is given. The graphical-user-interface developed for the model should be very useful to researchers and in industry for designing the thermo-mechanical treatment of titanium alloys.

뉴로-퍼지 알고리즘을 이용한 원격탐사 화상의 지표면 패턴 분류시스템 구현 (An Implementation of Neuro-Fuzzy Based Land Convert Pattern Classification System for Remote Sensing Image)

  • 이상구
    • 한국지능시스템학회논문지
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    • 제9권5호
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    • pp.472-479
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    • 1999
  • 본 논문에서는 뉴로-퍼지 알고리즘을 이용한 원격탐사 화상의 지표면 패턴분류기를 제안한다. 제안된 패턴 분류기는 일반적인 퍼지 인식기를 가지고 있는 3층 전방향 신경회로망 구조로 되어 있고 가중치들은 퍼지집합으로 구성된다. 이러한 퍼지-뉴로 패턴분류 시스템을 Visual C++ 환경을 구현한다. 성능평가를 위해 기존의 역전파 학습기능을 가진 신경회로망과 Maximum-likelihood 알고리즘을 이용해처리한 결과와비교분석한다. 대표적인 지표면 특징을 나타내는 8개의 클래스에 대해 훈련집합을 선정하고 각각의 분류 알고리즘에 같은 훈련집합을 사용하여 학습시킨 후 실험화상을 적용하여 지표면 특징을 8개의 클래스로 분류하였다. 실험결과 제안된 뉴로-퍼지 분류기는 여러개의 클래스로 혼합된 패턴에 대해서 기존의 분류기들에 비해 보다 더 좋은 성능을 보인다.

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A New Field Sequential Stereoscopic LCDs by use of Dual-Directional-Backlight

  • Yuuki, A.;Agari, M.;Iwsaki, N.;Sasagawa, T.;Tahata, S.;Satake, T.;Murakami, O.;Oda, K.;Ito, A.;Miyake, S.
    • Journal of Information Display
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    • 제5권2호
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    • pp.6-9
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    • 2004
  • We have developed the Scan-backlight Stereoscopic LCD that is a kind of field-sequential -Stereoscopic LCD combining the Dual- Directional- Backlight and the fast-response OCB panel. The Dual-Directional-Backlight using a double-sided prism sheet can change the direction of light by switching the LED light sources. The OCB panel using Feed-Forward Drive can realize frame rate of 120 Hz. As a result, the Scan-backlight Stereoscopic display works at its original resolving power, and produces flicker-free stereoscopic images. This auto- stereoscopic display can resolved the problems of the double images and the pseudoscopic images in case of watching at oblique angles.

Computer Aided Identification of Inter-Layer Faults in Gas Insulated Capacitively Graded Bushing during Switching

  • Rao, M.Mohana;Dharani, P.;Rao, T. Prasad
    • Journal of Electrical Engineering and Technology
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    • 제4권1호
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    • pp.28-34
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    • 2009
  • In a Gas Insulated Substation (GIS), Very Fast Transients (VFTs) are generated mainly due to switching operations. These transients may cause internal faults, i.e., layer-to-layer faults in a capacitively graded bushing as it is one of the most important terminal equipment for GIS. The healthiness of the bushing is generally verified by measuring its leakage current. However, the change in current magnitude/pattern is only marginal for different types of fault conditions. Leakage current monitoring (LCM) systems generate large amounts of data and computer aided interpretation of defects may be of great assistance when analyzing this data. In view of the above, ANN techniques have been used in this study for identification of these minor faults. A single layer perceptron network, a two layer feed-forward back propagation network and cascade correlation (CC) network models are used to identify interlayer faults in the bushing. The effectiveness of the CC network over perceptron and back propagation networks in identification of a fault has been analysed as part of the paper.

전동차용 전원장치의 출력전압 제어 안정성 향상 (Stability Improvement of Output Voltage Control on the Power Supply for Railways)

  • 서광덕
    • 조명전기설비학회논문지
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    • 제13권4호
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    • pp.134-141
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    • 1999
  • 본 논문은 전동차량용 전원장치의 출력전압 제어 안정성을 향상시키기 위한 연구이다. 입력전압 변동 및 부하 변동 등 과도상태시 출력 정전압 제어를 수행할 경우, L-C 필터부에서 공진이 발생함으로써 출력전압이 흔들리고 시스템이 불안해진다. 본 논문에서, 출력전압제어의 안정성을 확보하기 위해 주필터부에 공진을 억제하는 댐핑회로를 새롭게 제안하고, 이에 적합한 제어방법을 소개한다. 제안한 댐핑회로는 R-L로서 소형이고 간단히 구성된다. 제어기에는 과도상태분의 궤환제어와 대역저지필터를 적용한다. 또한 전력회로는 3레벨 PWM방식을 적용하였다. 이로서 과도상태에서 출력전압의 흔들림없이 변동폭을 10[%]이하로 제어할 수 있었으며, 정상상태의 출력 전압 왜형율도 3[%]이하로 감소시켰다.

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구동 시스템 시험을 위한 고성능 다이나모메터 제어 (A Highly Efficient Dynamometer Control For Motor Drive Systems Testing)

  • 김길동;신정렬;이한민;이우동
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 B
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    • pp.1291-1293
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    • 2004
  • The control method of programmable dynamometer for overall test of machine is to load the reference torque which is computed from torque transducer into motor under test. But the torque information detected from torque transducer have a lot of noise when the load torque of meter is a small quantity or changing. Thus, torque transducer must have a low pass filter to detect a definite torque information. But The torque delay generated by filter with torque transducer occur a torque trouble for moter torque of programmable dynamometer. Therefore, this kind of system could not perform dynamic and nonlinear load. In this paper, the control method using the load torque observer without a measure for torque transducer is proposed. The proposed system improved the problem of the torque measuring delay with torque transducer, and the load torque is estimated by the minimal order state observer based on the torque component of the vector control induction meter. Therefore, the torque controller is not affected by a load torque disturbance.

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Hybrid Fuzzy PI-Control Scheme for Quasi Multi-Pulse Interline Power Flow Controllers Including the P-Q Decoupling Feature

  • Vural, Ahmet Mete;Bayindir, Kamil Cagatay
    • Journal of Power Electronics
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    • 제12권5호
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    • pp.787-799
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    • 2012
  • Real and reactive power flows on a transmission line interact inherently. This situation degrades power flow controller performance when independent real and reactive power flow regulation is required. In this study, a quasi multi-pulse interline power flow controller (IPFC), consisting of eight six-pulse voltage source converters (VSC) switched at the fundamental frequency is proposed to control real and reactive power flows dynamically on a transmission line in response to a sequence of set-point changes formed by unit-step reference values. It is shown that the proposed hybrid fuzzy-PI commanded IPFC shows better decoupling performance than the parameter optimized PI controllers with analytically calculated feed-forward gains for decoupling. Comparative simulation studies are carried out on a 4-machine 4-bus test power system through a number of case studies. While only the fuzzy inference of the proposed control scheme has been modeled in MATLAB, the power system, converter power circuit, control and calculation blocks have been simulated in PSCAD/EMTDC by interfacing these two packages on-line.

비선형 보상기를 이용한 PDFF 위치제어 (A PDFF Position Control using Non-linear Compensator)

  • 안영주;이형기
    • 융합신호처리학회논문지
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    • 제3권4호
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    • pp.49-56
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    • 2002
  • 본 논문에서는 기존의 PDFF 제어기에 비선형 보상기를 적용한 위치제어에 대하여 기술한다. 이 방법은 기존의 방법보다 주어진 사양을 쉽게 만족시킬 수 있다 제어기 설계에 있어서 위상 여유와 대역폭을 동시에 조절할 수 있는 개선된 PDFF 제어기를 제시한다. PDFF 제어기의 전향 보상항을 비선형 보상기(CDIDF 제어기)로 치환함으로서 폐루프시스템의 대역폭을 감소시키지 않으면서 원하는 위상여유를 얻는 것이다. 제시된 방법은 시뮬레이션과 실험을 통하여 확인된다 시뮬레이션 및 실험결과에 따라 CDIDF 제어기를 사용한 개선된 PDFF 시스템에서는 제어기의 파라미터를 적절히 설정함으로서 전반적인 설계사양을 만족시키는 것이 확인된다.

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