• Journal of Electrical Engineering and Technology
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• 제12권5호
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• pp.1991-2000
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• 2017

This paper presents a compensative microstepping based position control with passive nonlinear adaptive observer for permanent magnet stepper motor. Due to the resistance uncertainties, a position error exists in the steady-state, and a ripple of position error appears during operation. The compensative microstepping is proposed to remedy this problem. The nonlinear controller guarantees the desired currents. The passive nonlinear adaptive observer is designed to estimate the phase resistances and the velocity. The closed-loop stability is proven using input to state stability. Simulation results show that the position error in the steady-state is removed by the proposed method if the persistent excitation conditions are satisfied. Furthermore, the position ripple is reduced, and the Lissajou curve of the phase currents is a circle.

• 국제초고층학회논문집
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• 제10권2호
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• pp.99-107
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• 2021

This research investigates the potential of Adaptive TMDs for tall building damping. The Adaptive TMD under consideration is based on real-time controlled hydraulic dampers generating purely dissipative control forces. The control approach is designed to enhance the Adaptive TMD efficiency for moderate wind loads with return periods below 50 years. The resulting enhanced TMD efficiency is used to reduce the pendulum mass by 15% compared to the passive TMD while still guaranteeing the acceleration limits of the one and ten year return period winds. Furthermore, the adaptive control approach is designed to disproportionally increase the controlled damping force at wind loads with return periods of 50 years and more in order to reduce the maximum relative motion of the Adaptive TMD with only 85% pendulum mass. Compared to the passive TMD with 100% pendulum mass the maximum relative motion is reduced by 20%. Both the pendulum mass reduction and the maximum relative motion reduction significantly reduce the foot print of the Adaptive TMD which is highly desirable from the economic point of view.

• Earthquakes and Structures
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• 제11권6호
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• pp.1077-1099
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• 2016

One of the main shortcomings in the current passive base isolation system is lack of adaptability. The recent research and development of a novel adaptive seismic isolator based on magnetorheological elastomer (MRE) material has created an opportunity to add adaptability to base isolation systems for civil structures. The new MRE based base isolator is able to significantly alter its shear modulus or lateral stiffness with the applied magnetic field or electric current, which makes it a competitive candidate to develop an adaptive base isolation system. This paper aims at exploring suitable control algorithms for such adaptive base isolation system by developing a close-loop semi-active control system for a building structure equipped with MRE base isolators. The MRE base isolator is simulated by a numerical model derived from experimental characterization based on the Bouc-Wen Model, which is able to describe the force-displacement response of the device accurately. The parameters of Bouc-Wen Model such as the stiffness and the damping coefficients are described as functions of the applied current. The state-space model is built by analyzing the dynamic property of the structure embedded with MRE base isolators. A Lyapunov-based controller is designed to adaptively vary the current applied to MRE base isolator to suppress the quake-induced vibrations. The proposed control method is applied to a widely used benchmark base-isolated structure by numerical simulation. The performance of the adaptive base isolation system was evaluated through comparison with optimal passive base isolation system and a passive base isolation system with optimized base shear. It is concluded that the adaptive base isolation system with proposed Lyapunov-based semi-active control surpasses the performance of other two passive systems in protecting the civil structures under seismic events.

• 한국음향학회지
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• 제29권1호
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• pp.10-17
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• 2010

수중에서 소나를 이용하여 표적을 탐지하고자 할 때 자함에서 발생되는 소음을 감소시켜 표적의 탐지성능을 향상시키는 것은 매우 중요한 일이다. 본 논문에서는 수상함에서 선체고정형소나(HMS)를 사용하는 경우 두 가지 운영모드에 대하여 자함의 소음감소 성능을 분석하였다. 운영자모드에서는 ALE(Adaptive Line Enhancer)기법을 적용하여 자함신호의 광대역 성분을 감소하므로 토널 성분의 탐지성능을 향상하였으며, 자동모드에서는 주 입력신호와 상관관계를 가진 기준 입력신호를 선정하여 조향 방위로 유입되는 잡음신호를 제거하였다. 적응필터를 설계하기 위하여 NLMS(Normalized LMS)알고리즘을 이용하였으며 실제 해상실험 데이터를 이용하여 시뮬레이션을 수행하므로 제안한 기법의 성능을 확인하였다.

• 한국음향학회지
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• 제38권2호
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• pp.145-153
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• 2019

적응빔형성 기법은 부엽을 줄이고 약한 신호에 대한 탐지 성능을 향상시킨다. MVDR(Minimum Variance Distortionless Response)과 같은 일반적인 적응빔형성 기법은 설계한 가중벡터와 실제 입사신호의 조향벡터의 불일치에 대해 매우 민감하다. 또한 센서 수가 많은 어레이를 이용하여 광대역 적응빔형성을 할 경우 공분산행렬을 산출하기 위해 긴 관측시간과 많은 연산량이 요구된다. 본 논문은 센서 수가 많은 수동 선배열 소나의 광대역 적응빔형성 성능향상 및 안정성을 위해 WBRCB(Wideband Robust Capon Beamforming)를 적용하였다. 불일치 요소에 강인한 WBRCB 구현을 위해 다양한 불일치 요소를 반영하여 최적의 불일치 파라미터를 도출하였다. 도출된 파라미터를 반영한 WBRCB 기법을 시뮬레이션 및 실험데이터에 적용하여 수동 선배열 소나의 광대역 적응빔형성 성능 향상을 검증하였다.

• JSTS:Journal of Semiconductor Technology and Science
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• 제12권4호
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• pp.405-410
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• 2012

This paper presents an inductorless 8-Gb/s adaptive passive equalizer with low-power consumption and small chip area. The equalizer has a tunable RC filter which provides high-frequency gain boosting and a limiting amplifier that restores the signal level from the filter output. It also includes a feedback loop which automatically adjusts the filter gain for the optimal frequency response. The equalizer fabricated in $0.18-{\mu}m$ CMOS technology can successfully equalize 8-Gb/s data transmitted through up to 50-cm FR4 PCB channels. It consumes 6.75 mW from 1.8-V supply voltage and occupies $0.021mm^2$ of chip area.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.71.3-71
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• 2001

Passive Stabilization method and active stabilization method are mainly used to comprise a control system of platform stabilizer. Passive Stabilization method has demerits because of size and weight except that control structure is simple while active stabilization method using sensors can reduce size and weight, it requires high sensor technique and control algorithm. In this paper, a stabilizing controller using adaptive fuzzy control technique and floating-point processor(DSP) is suggested.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2007년도 춘계학술대회 학술발표 논문집 제17권 제1호
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• pp.435-439
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• 2007

This paper deals with RLS algorithm using Newton-Raphson method based adaptive forgetting factor for a passive telemetry RF sensor system in order to estimate the time variant parameter to be included in RF sensor model. For this estimation with RLS algorithm, phasor typed RF sensor system modelled with inductive coupling principle is used. Instead of applying constant forgetting factor to estimate time variant parameter, the adaptive forgetting factor based on Newton-Raphson method is applied to RLS algorithm without constant forgetting factor to be determined intuitively. Finally, we provide numerical examples to evaluate the feasibility and generality of the proposed method in this paper.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2009년도 정보통신설비 학술대회
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• pp.281-284
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• 2009

In this paper, we propose a method that applies Adaptive Frequency Sampling(AFS) technique to the equivalent circuit model for RF passive components. Thes days wireless communication system is getting smaller and smaller. So EMI/EMC is an issue in RF. We can solve PI(Power Integrity)/SI(Signal Integrity) that one of EMI/EMC problem apply IFFT for 3D EM simulation multiple with input signal. That is time comuming task. Therefore equivalent circuit model using RF passive component is important. AFS schemes are implemented to obtain the rational functions. S parameters of the equivalent circuit moldel is compared to those of EM simulation in case of the microstrip line structure.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.351-354
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• 1996

A new target adaptive guidance (TAG) algorithm is proposed to engage the aim point formed by adding a bias to the information from an infrared (IR) seeker for improving passive homing guidance effectiveness. The TAG algorithm utilizes an observability enhancing mid-course guidance algorithm to obtain convergent estimates of state variables involved particularly in range channel otherwise unavailable from passive sensors. Simulation results indicate that the TAG algorithm provides improved terminal effectiveness without computational complexities.