• 제목/요약/키워드: variable gain

검색결과 511건 처리시간 0.024초

Variable and Flexible Optical Frequency Comb Source using Dual Mach Zehnder Modulator and Phase Modulator

  • Naveed, Abbas;Choi, Bong-Soo;Tran, ThanhTuan;Seo, Dongsun
    • 전기전자학회논문지
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    • 제20권4호
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    • pp.385-391
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    • 2016
  • We demonstrated experimentally a variable optical frequency comb source using a cascaded dual parallel Mach Zehnder modulator (DPMZM) and a phase modulator (PM). With this simple configuration and applying low drive voltages, we generated variable comb source composed of spectral lines 3, 5, 7, 9 and 11 with 10-GHz frequency spacing, also generated 2 and 3 spectral lines with 20 GHz frequency spacing. The generated comb source maintains high spectral coherence across the entire bandwidth with good spectral flatness (within 1-dB for 2, 3, 5, 7 comb lines, within 2-dB for 9-comb lines and within 3-dB for 11 comb lines). The flat and variable comb source is mainly achieved by manipulating 6 operating parameters of DPMZM, setting RF amplifier gain, connected at phase modulator and phase shifters. Hence the method is simple and offers great flexibility in achieving flat and variable comb spectrum, which is experimentally demonstrated. This brings advantages of power efficiency due to low driving voltages, simplicity and cost effectiveness to the system.

다매체 직접수열 대역확산 다중접속 시스템에 관한 연구 (Analysis of Multi-Media DS/CDMA System)

  • 김홍직;김상우
    • 한국통신학회논문지
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    • 제24권6A호
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    • pp.775-781
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    • 1999
  • 이 논문에서는 다매체(Multi-Media)를 지원하는 변환 확산 이득을 가지는 직접수열 다중접속 시스템(Variable Processing Gain DS/CMA System)에 대해 생각한다. 서로 다른 전송율과 서로 다른 전송 전력을 가지는 두 가지 유형의 정보원이 같은 채널로 전송된다고 가정한다. 각 유형의 정보원에 대한 상관 수신기에서의 평균 신호 대 잡음비를 확산 부호간의 부분 상관함수들의 함수로 유도하였다. 매체간의 전송율의 차이가 클수록 랜덤 확산부호를 가정에 의한 평균 신호 대 잡음비가 실제값과 큰 차이(최대 1dB 이상)를 나타냄을 확인하였다. 본 연구의 결과는 다매체 직접수열 대역확산 다중접속 시스템 설계에 필요한 분석적인 도구로 이용될 수 있다.

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이산 가변구조제어기를 이용한 자율무인잠수정의 심도제어 (Depth Control of an Autonomous Underwater Vehicle with System Uncertainties Based on Discrete Variable Structure System)

  • 이판묵;홍석원;전봉환
    • 한국해양공학회지
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    • 제11권4호
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    • pp.169-179
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    • 1997
  • This paper presents a discrete-time sliding mode control of an autonomous underwater vehicle with parameter uncertainties and long sample interval based on discrete variable structure system. Although conventional sliding mode montrol techniques are robust to system uncertainties, in the case of the system with long sample interval, the sliding control system reveals chattering phenomenon and even makes the system unstable. This paper considers the AUV which acquires position informations from a surface ship through an acoustic telemetry system with a certain discrete interval. The control system is designed on the basis of a Lyapunov function and a sufficient condition of the switching gain to make the system stable is give. Each component of the switching gain can be determined separately one another. The controller is robust to the uncertainties, and reaching condition of the control system is satisfied for any initial condition. This control law is a generalized form of the discrete sliding mode control and reduce the chattering problem considerably. Motion control of the AUV in the vertical plane shows the effectiveness of the proposed technique.

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멀티레이트 서비스를 지원하는 VSG-DS/C음 시스템에서의 PN 시퀀스 상관 파라미터 특성과 최적화 (The Correlation Parameters and the Optimization of a PN Sequence Phase for Variable Spreading Gain (VSG) Multi-Rate DS/CDMA System)

  • 이연우;김응배;차균현
    • 한국통신학회논문지
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    • 제25권1A호
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    • pp.10-17
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    • 2000
  • 본 논문에서는 가변 확산이득 (VSG) 구조를 갖는 멀티미디어 멀티레이트 DS/CDMA 시스템에서 PN 시퀀스의 위상에 따른 상관 특성을 보였고, 시퀀스 위상을 최적화 하였다. 멀티레이트 VSG-DS/CDMA 시스템의 경우에 시퀀스의 최적화는 동일 길이의 시퀀스들과는 물론, 다른 확산 이득을 갖는 다른 시퀀스들에 대해서 동시에 이루어져야 하므로 시퀀스의 최적화가 쉽지 않다. 따라서, 본 논문에서는 이러한 멀티레이트 시스템에서의 시퀀스 상관 특성을 살펴보았고, 이를 통해서 비트 오율을 최소화 시킬 수 있는 시퀀스 선택기준으로 MIN-AIP를 제시하였다. m 시퀀스와 Gold 시퀀스에 대한 성능분석 결과, MIN-AIP 기준에 의한 시퀀스 초기 위상의 선택기준이 성능을 가장 향상시킬 수 있는 최적의 선택기준이라는 결론을 얻을 수 있었다.

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움직임 영상 부호화를 위한 가변 블록 크기 움직임 추정 기법 (Variable Block Size Motion Estimation Techniques for The Motion Sequence Coding)

  • 김종원;이상욱
    • 전자공학회논문지B
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    • 제30B권4호
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    • pp.104-115
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    • 1993
  • The motion compensated coding (MCC) technique, which exploits the temporal redundancies in the moving images with the motion estimation technique,is one of the most popular techniques currently used. Recently, a variable block size(VBS) motion estimation scheme has been utilized to improve the performance of the motion compensted coding. This scheme allows large blocks to the used when smaller blocks provide little gain, saving rates for areas containing more complex motion. Hence, a new VBS motion estimation scheme with a hierarchical structure is proposed in this paper, in order to combine the motion vector coding technique efficiently. Topmost level motion vector, which is obtained by the gain/cost motion estimation technique with selective motion prediction method, is always transmitted. Thus, the hierarchical VBS motion estimation scheme can efficiently exploit the redundancies among neighboring motion vectors, providing an efficient motion vector encoding scheme. Also, a restricted search with respect to the topmost level motion vector enables more flexible and efficient motion estimation for the remaining lower level blocks. Computer simulations on the high resolution image sequence show that, the VBS motion estimation scheme provides a performance improvement of 0.6~0.7 dB, in terms of PSNR, compared to the fixed block size motion estimation scheme.

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가변구조제어기와 인공 신경회로망에 의한 BLDC모터의 디지털 전류제어 (Digital current control for BLDC motor using variable structure controller and artificial neural network)

  • 박영배;김대준;최영규
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.504-507
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    • 1997
  • It is well known that Variable Structure Controller(VSC) is robust to parameters variation and disturbance but its performance depends on the design parameters such as switching gain and slope of sliding surface. This paper proposes a more robust VSC that is composed of local VSC's. Each local VSC considers the local system dynamics with narrow parameter variation and disturbance. First we optimize the local VSC's by use of Evolution Strategy, and next we use Artificial Neural Network to generalize the local VSC's and construct the overall VSC in order to cover the whole range of parameter variation and disturbance. Simulation on BLDC motor current control shows that the proposed VSC is superior to the conventional VSC.

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가변속 풍력발전용 영구자석형 동기발전기의 퍼지 속도제어기 설계 (Fuzzy Speed Controller Design of Permanent Magnet Synchronous Generators for Variable-Speed Wind Turbine Systems)

  • 유동녕;최영식;최한호;정진우
    • 조명전기설비학회논문지
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    • 제25권2호
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    • pp.69-79
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    • 2011
  • This paper proposes a new fuzzy speed control method based on Takagi-Sugeno fuzzy method of permanent magnet synchronous generators(PMSM) for variable-speed wind turbine systems. The proposed fuzzy speed controller consists of the control terms that compensate for the nonlinearity of PMSG and the control terms that stabilize the error dynamics. The conditions are derived for the existence of the proposed speed controller, and the gain matrices of the controller are given. The proposed control method can guarantee that the PMSG can effectively track the speed reference which is calculated through the MPPT control and can reduce the fluctuations of the generated power under even fast random wind conditions. To verify the performance of the proposed fuzzy speed controller, the simulation results are demonstrated.

신경회로망을 이용한 WMR의 가변제어기 설계 (Design of variable controller for WMR using a Neural Network)

  • 김규태;김성회;박종국
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 합동 추계학술대회 논문집 정보 및 제어부문
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    • pp.157-160
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    • 2001
  • This paper presents A Design of WMR Controller that being composed of cooperative relation between PID controller and optimized neural network algorithm, it operate a variable control by velocity. Some proposed algorithm in the past just depended on PID controller for the control of position of WMR but for more efficient control we design a variable controller that operate control by PD controller using neural network if it is satisfied with any given condition. it adjust gain of PD controller for real time control using a fast feedforward algorithm which is different with Form of the standard backpropagation algorithm.

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