• 제목/요약/키워드: fixed gain

검색결과 371건 처리시간 0.027초

마이크로 공진형 센서의 주파수 및 진폭 제어 (Frequency and Amplitude Control of Micro Resonant Sensors)

  • 박성수
    • 제어로봇시스템학회논문지
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    • 제15권3호
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    • pp.258-264
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    • 2009
  • This paper presents two control algorithms for the frequency and amplitude of the resonator of a micro sensor. One algorithm excites the resonator at its a priori unknown resonant frequency, and the other algorithm alters the resonator dynamics to place the resonant frequency at a fixed frequency, chosen by the designer. Both algorithms maintain a specified amplitude of oscillations. The control system behavior is analyzed using an averaging method, and a quantitative criterion is provided for the selecting the control gain to achieve stability. Tracking and estimation accuracy of the natural frequency under the presence of measurement noise is also analyzed. The proposed control algorithms are applied to the MEMS dual-mass gyroscope without mechanical connecting beam between two proof-masses. Simulation results show the effectiveness of the proposed control algorithms which guarantee the proof-masses of the gyroscope to move in opposite directions with the same resonant frequency and oscillation amplitude.

이중게이트 FET 를 이용한 광대역 하이브리드 믹서 설계 (Design of Broadband Hybrid Mixer using Dual-Gate FET)

  • 김철준;이강호;구경헌
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2005년도 추계종합학술대회
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    • pp.197-200
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    • 2005
  • This paper presents the design of a broadband hybrid mixer using dual-gate FET topology with a low-pass filter which improves return loss of output to isolate RF and LO signal. The low-pass filter shows the isolation whose RF and LO signal is better than 40 dBc at 2 GHz and 5 GHz band. The dual-gate mixer which has been designed by using cascade topology operates when the lower FET is biased in linear region and the upper FET is in saturation. The input matching circuit has been designed to have conversion gain from 2 GHz to 6 GHz. The designed mixer with low-pass filter shows the conversion gain of better than 7 dB from 2 GHz to 6 GHz at a low LO power level of 0 dBm with the fixed IF frequency of 21.4 MHz.

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Asymptotically Stable Adaptive Load Torque Observer for Precision Position Control of BLDC Motor

  • 고종선
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 1997년도 전력전자학술대회 논문집
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    • pp.97-100
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    • 1997
  • A new control method for the robust position control of a brushless DC(BLDC) motor using the asymptotically stable adaptive load torque observer is presented. A precision position control is obtained for the BLDC motor system approximately linearized using the field-orientation method. And the application of the load torque observer is published in [1] using fixed gain. However, the flux linkage is not exactly known for a load torque observer. Therefore, a model reference adaptive observer is considered to overcome the problem of the unknown parameter in this paper. And stability analysis is carried out using Liapunov stability theorem. As a result, asymptotically stable observer gain can be obtained without affecting the overall system response. The load disturbance detected by the asymptotically stable adaptive observer is compensated by feedforwarding the equivalent current having the fast response.

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유한상태 분류 벡터 양자기를 이용한 라플라시안 피라미드 부호화 기법 (Lplacian Pyramid Coding Technique using a Finite State-Classified Vector Quantizer)

  • 박섭형;이상욱
    • 대한전자공학회논문지
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    • 제26권10호
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    • pp.1561-1570
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    • 1989
  • In this paper, we propose an image coding scheme which combines the Laplacian pyramid structure and a hierarchical finite state classified vector quantizer in the DCT domain, namely FSDCT-CTQ. First, an optimal bit allocation problem for fixed rates DCT-CVQ on the Laplacian pyramid structure is described. In an asymptotic case, with an optimal bit allocation, a coding gain over scalar quantization of each Laplacian plane is derived. Second, it is experimentallhy shown that the Laplacian pyramid structure provides a considerable codng gain in the sense of total MMSE (minimum mean squared error). Finally, we propose an FS-DCT-CVQ which exploits the hierarchicla correlation between the Laplacian planes. Simulation results on real images show that the proposed coding scheme can reconstruct an image with 30.33 dB at 0.192 bpp, 32.45 dB at 0.385 bpp, respectively.

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Optimum Configuration of Multiple Antennas for the Combinded System with Tx. Diversity and Beamforming

  • Yu, Hyun-Hye;Liu, Li-Jun;Lim, Myoung-Seob
    • 한국통신학회논문지
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    • 제33권7A호
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    • pp.727-732
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    • 2008
  • The transmit diversity as well as beamforming can increase the performance of wireless communication systems. It is well known that the requirement for the spacing between the neighboring antennas in transmit diversity and beamforming is contradictive to each other. Therefore it is necessary to find the optimum configuration of multiple antennas for getting the maximum performance under the condition that the total number of antennas at transmitter site and the total power of transmitter are fixed. In this paper, the procedure for finding the optimum configuration of multiple antennas was derived through searching the maximum capacity and BER in the combined system with the transmit diversity (Tx diversity) and beamforming.

로보트 팔의 동력학적제어를 위한 신경제어구조 (Neurocontrol architecture for the dynamic control of a robot arm)

  • 문영주;오세영
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.280-285
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    • 1991
  • Neural network control has many innovative potentials for fast, accurate and intelligent adaptive control. In this paper, a learning control architecture for the dynamic control of a robot manipulator is developed using inverse dynamic neurocontroller and linear neurocontroher. The inverse dynamic neurocontrouer consists of a MLP (multi-layer perceptron) and the linear neurocontroller consists of SLPs (single layer perceptron). Compared with the previous type of neurocontroller which is using an inverse dynamic neurocontroller and a fixed PD gain controller, proposed architecture shows the superior performance over the previous type of neurocontroller because linear neurocontroller can adapt its gain according to the applied task. This superior performance is tested and verified through the control of PUMA 560. Without any knowledge on the dynamic model, its parameters of a robot , (The robot is treated as a complete black box), the neurocontroller, through practice, gradually and implicitly learns the robot's dynamic properties which is essential for fast and accurate control.

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성층권 비행선의 위치 변화에 따른 지구국 안테나의 EIRP 및 G/T 분석 (Analysis of EIRP and G/T due to Position Variation of Stratospheric Airship)

  • 구본준;안도섭;백동철;박광량
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 추계종합학술대회 논문집
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    • pp.805-808
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    • 1999
  • The researches about the stratospheric communication system are on process in USA, Japan, Europe and etc. The Airship is expected to be fixed at its position in stratosphere but perhaps its position is changed slightly because of wind in stratosphere. If earth station antenna has high gain without tracking function, even though the airship location has a little variation, degradation of antenna gain is occurred because of narrow beamwidth. In this paper, EIRP and G/T variation of the ground system due to the position variation of airship are examined.

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배기열(排氣熱) 회수용(回收用) 평판(平板) - 휜형(形) 밀집형(密集形) 현열(顯熱) 열교환기(熱交換器)의 최적설계(最適設計)에 관한 연구(硏究) (A Study on the Optimum Design of Plate-Fin Compact Sensible Heat Exchanger for the Heat Recovery of Exhaust Gas)

  • 최영돈;박상동;우정선;태춘섭
    • 설비공학논문집
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    • 제2권2호
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    • pp.85-98
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    • 1990
  • Method of optimum design of a compact sensible plate-fin heat exchanger for the heat recovery of exhaust gas from the air conditioning space was developed in consideration of the econamics of investment cost and profit according to the installation of heat exchanges. In the counterflow heat exchanger, the frontal area was fixed and the length of heat exchanger was optimized in order to maximize the net gain according to the setting of the heat exchanger. In the cross flow heat exchanger, the size of the exchanger was also optimized to maximize the net gain.

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FNN 기반 PI 제어기를 이용한 SynRM 드라이브의 고성능 제어 (High Performance Control of SynRM Drive using FNN based PI Controller)

  • 정병진;고재섭;최정식;김도연;정동화
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.68-70
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    • 2008
  • This paper proposes FNN based PI controller for high performance control of SynRM Drive. Traditional PI controller can't be obtained good performance because it has fixed gain. Therefore, in this paper, FNN based PI controller that gain of PI controller is tuned use FNN proposes. FNN based PI controller proposed in this paper can be obtained excellent performance more than traditional PI controller. Algorithm proposed in this paper make a analysis and prove valid.

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Performance Improvement in Alternate Mainbeam Nulling by Adaptive Estimation of Convergence Parameters in Linearly Constrained Adaptive Arrays

  • Chang, Byong-Kun;Jeon, Chang-Dae;Song, Dong-Hyuk
    • Journal of information and communication convergence engineering
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    • 제7권3호
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    • pp.392-398
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    • 2009
  • A novel approach is presented to improve the array performance of the alternate mainbeam nulling in a linearly constrained adaptive array processor in coherent environment. The convergence parameters in the linearly constrained LMS algorithm with a unit gain constraint and a null constraint in the direction of the desired signal are adaptively estimated to reduce the error power between the desired signal and the array output in the 2-dimensional convergence parameter space. It is shown that the case for estimating the convergence parameter for the unit gain constraint with that for null constraint fixed performs best. Also, it is observed that the proposed method performs significantly better than conventional methods as the number of coherent interferences increases.