• 제목/요약/키워드: Adaptive Bias

검색결과 103건 처리시간 0.024초

Design of Reconfigurable Flight Controller using Sliding Mode Control - Actuator Fault

  • dong ho Shin;Kim, Youdan
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.40.2-40
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    • 2002
  • This paper presents the reconfigurable flight controller in the presence of jammed actuator fault using the adaptive sliding mode control scheme. It is developed under the assumption that the control surface fault cannot be detected and the positions of stuck control surfaces are unknown. It is well known that sliding mode controller shows good performance for the systems with various uncertainties. None-operating stuck actuator makes the system behave like bias which degrades the system performance and sometimes destabilizes the system. Therefore, the bias term generated by actuator faults has to be compensated by the control system. To the objective, we adopt the adaptive sliding mode cont...

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적응형 바이어스 조절 회로와 2차 고조파 종단 회로를 이용한 고선형성 고효율 DMB CMOS 전력증폭기 (A Highly Linear and Efficient DMB CMOS Power Amplifier with Adaptive Bias Control and 2nd Harmonic Termination circuit)

  • 최재원;서철헌
    • 대한전자공학회논문지TC
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    • 제44권1호
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    • pp.32-37
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    • 2007
  • 고효율과 고선형성을 갖는 DMB CMOS 전력증폭기가 제안되어 있다. 이 논문에서는 0.13-um 표준 CMOS 공정이 적용되어졌고 제안된 전력증폭기의 모든 구성 소자는 출력 정합 회로망과 적응형 바이어스 조절 회로를 포함하여 하나의 칩속에 완전히 집적되어졌다. 효율과 선형성을 동시에 개선시키기 위하여 적응형 바이어스 조절 회로가 드레인 노드에 위치한 2차 고조파 종단 회로와 함께 적용되어졌다. 전력증폭기는 각각 16.64 dBm의 $P_{1dB}$, 38.31 %의 효율 (PAE), 그리고 24.64 dB의 출력 이득을 보였다. 3차 혼변조왜곡 (IMD3)과 5차 혼변조왜곡 (IMD5)은 각각 -24.122 dBc, -37.156 dBc 이다.

적응형 바이어스 기법과 DGS를 이용한 와이브로용 고효율 고선형 도허티 전력증폭기 설계 (Design of High Efficiency and Linearity Doherty Power Amplifier Using Adaptive Bias Technique and DGS for Wibro Applications)

  • 오정균;손성찬
    • 정보통신설비학회논문지
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    • 제8권1호
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    • pp.12-17
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    • 2009
  • In this paper, We play it for the purpose of study about the power amplifier which applied DGS and adaptive bias circuit structure to general Doherty amplifier for the efficiency of a RF power amplifier and a linearity improvement in the WiBro band. As for the IMD3, 3.4dBc was improved with -26.3dBc when we did the measurement result existing Doherty power amplifier and comparison of the Doherty power amplifier which applied an adaptive bias circuit and the DGS which proposed in this paper, and the mean power efficiency verified what was increased in 37%. Also, we were able to know PAE of 36.6% with output power 34.0dBm in P1dB when magnitude of an input signal was 25.6dBm. we did 6dB back off in output P1dB in order to confirm the ACPR which was a nonlinear characteristic and measured the ACPR. we showed the -34.55dBc which was a value of -34.5dBc or below in the 4.77MHz off-set that was a transmission standard. Therefore, we were able to know that we were satisfied with a spectrum mask standard.

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Scene-based Nonuniformity Correction for Neural Network Complemented by Reducing Lense Vignetting Effect and Adaptive Learning rate

  • No, Gun-hyo;Hong, Yong-hee;Park, Jin-ho;Jhee, Ho-jin
    • 한국컴퓨터정보학회논문지
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    • 제23권7호
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    • pp.81-90
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    • 2018
  • In this paper, reducing lense Vignetting effect and adaptive learning rate method are proposed to complement Scribner's neural network for nuc algorithm which is the effective algorithm in statistic SBNUC algorithm. Proposed reducing vignetting effect method is updated weight and bias each differently using different cost function. Proposed adaptive learning rate for updating weight and bias is using sobel edge detection method, which has good result for boundary condition of image. The ordinary statistic SBNUC algorithm has problem to compensate lense vignetting effect, because statistic algorithm is updated weight and bias by using gradient descent method, so it should not be effective for global weight problem same like, lense vignetting effect. We employ the proposed methods to Scribner's neural network method(NNM) and Torres's reducing ghosting correction for neural network nuc algorithm(improved NNM), and apply it to real-infrared detector image stream. The result of proposed algorithm shows that it has 10dB higher PSNR and 1.5 times faster convergence speed then the improved NNM Algorithm.

광대역 chirp 신호의 방위각 추정을 위한 적응 빔 형성 (Adaptive Chirp Beamforming for Direction-of-Arrival Estimation of Wideband Chirp Signals in Sensor Arrays)

  • 김정수;최병웅;배은현;이균경
    • 한국음향학회지
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    • 제27권2호
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    • pp.87-91
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    • 2008
  • 본 논문은 동일한 주파수 파라미터를 가지고 다른 방위에서 입사하는 chirp신호의 방위각 (DOA : Direction-of-arrival) 추정에서 상호 간섭으로 인한 bias문제를 해결하기 위하여 적응 chirp 빔형성기법을 제안한다. 제안한 기법은 기존의 STMV (STeered Minimum Variance)기법에 chirp 신호의 시간-주파수 특성을 고려함으로써 chirp신호들의 상호 간섭을 보다 효과적으로 감소시켜 방위각 추정성능을 향상시킨다. 모의 실험에서 제안한 기법과 기존의 기법들에 의한 방위각 추정성능을 비교한다.

근접영역에서의 IR 탐색기 정보를 이용한 표적적응유도 (Target Adaptive Guidance Using Near-Zone Information from IR Seeker)

  • 엄태윤;김필성
    • 한국군사과학기술학회지
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    • 제5권3호
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    • pp.113-119
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    • 2002
  • A target adaptive guidance(TAG) algorithm is proposed employing the near-zone signal that can be measured from an infrared seeker. The guidance order is composed of a conventional PNG command and an additional command to be calculable from an additional LOS rate between a hot point of target and a required intercept point. The characteristic of the near-zone signal is similar to that of LOS rate that is inversely proportional to the square of time-to-go. Hence the proposed scheme can be applied to real systems with no estimator for time-to-go. From analysis results on the miss distance with perfect missile and perfect seeker, it follows that the proposed TAG algorithm guarantees missile to be ideally guided to the required intercept point. And it is less affected by the TAG start time and a proportional navigation ratio than other TAG schemes using a LOS rate such as a step bias or a ramp bias.

Sparse vector heterogeneous autoregressive model with nonconvex penalties

  • Shin, Andrew Jaeho;Park, Minsu;Baek, Changryong
    • Communications for Statistical Applications and Methods
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    • 제29권1호
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    • pp.53-64
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    • 2022
  • High dimensional time series is gaining considerable attention in recent years. The sparse vector heterogeneous autoregressive (VHAR) model proposed by Baek and Park (2020) uses adaptive lasso and debiasing procedure in estimation, and showed superb forecasting performance in realized volatilities. This paper extends the sparse VHAR model by considering non-convex penalties such as SCAD and MCP for possible bias reduction from their penalty design. Finite sample performances of three estimation methods are compared through Monte Carlo simulation. Our study shows first that taking into cross-sectional correlations reduces bias. Second, nonconvex penalties performs better when the sample size is small. On the other hand, the adaptive lasso with debiasing performs well as sample size increases. Also, empirical analysis based on 20 multinational realized volatilities is provided.

드레인 조절회로를 이용한 무선전력전송용 고이득 고효율 Class-E 전력증폭기 설계 (High Gain and High Efficiency Class-E Power Amplifier Using Controlling Drain Bias for WPT)

  • 김상환;서철헌
    • 전자공학회논문지
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    • 제51권9호
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    • pp.41-45
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    • 2014
  • 본 논문에서는 입력전력에 따라 드레인 바이어스를 조절하여 낮은 입력 전력에서도 고효율 동작이 가능한 무선전력전송용 고효율 class-E 전력증폭기를 설계하였다. 고효율 동작이 가능한 class-E 전력증폭기에 적응형 바이어스 조절회로를 추가하여 낮은 입력 전력에서 드레인 바이어스를 조절함으로써 전체적인 효율의 향상을 얻을 수 있다. 제안된 적응형 class-E 전력증폭기는 효율의 향상을 위해 직렬 공진회로와 입, 출력 정합회로를 이용하여 구현하였으며, 입력전력에 따라 드레인 바이어스를 조절하기 위해 방향성 결합기, 전력 검출기, 연산 증폭기를 이용하여 적응형 바이어스 조절회로를 구성하였다. 따라서 전력증폭기의 최대출력과 전력효율은 13.56 MHz에서 41.83 dBm, 85.67 %이고, 0 dBm ~ 6 dBm의 낮은 입력 전력에서 고정형 바이어스보다 평균 8 %의 효율의 증가를 확인하였다.

적응형 레이다를 위한 다중대역 혼합기에 관한 연구 (The Study on Multi-band Mixer for Adaptive Radar)

  • 고민호;강세벽
    • 한국전자통신학회논문지
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    • 제16권6호
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    • pp.1053-1058
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    • 2021
  • 본 논문은 능동소자에 인가되는 게이트 바이어스 전압을 가변하여 X-, K- 및 Ka-대역 신호를 선택적으로 변환할 수 있는 다중대역 혼합기를 제안하였다. 제안한 다중대역 혼합기는 LO 전력 +6 dBm으로 구동하였고 X-대역의 경우, 게이트 바이어스 전압 -0.8 V에서 변환손실 -10 dB 특성, K-대역에서 게이트 바이어스 전압 -0.3 V에서 변환손실 -9 dB 특성, Ka-대역에서는 게이트 바이어스 전압 -0.2 V에서 변환손실 -7.0 dB 특성을 나타내었다. 모든 대역에서 1-dB 압축점 (P1dB)은 +0.5 dBm 특성을 나타내었다.

적용 필터링에 의한 이동중인 목표물의 추적 (Maneuvering target tracking by adaptive filtering)

  • 이만형;김종학
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1986년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 17-18 Oct. 1986
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    • pp.510-513
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    • 1986
  • In recent years the Kalman filter(extended Kalman filter) have been applied to a wide variety of tracking moving targets, because of its properties. For such a reason, in this paper we attempt to study on adaptive filter algorithms which estimate unknown bias maneuvering inputs.

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