• 전기학회논문지
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• 제63권1호
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• pp.35-41
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• 2014

This paper presents a design method of programmable low pass filter(PLPF) which reduce an estimation error of a zero crossing point(ZCP) for a high speed brushless DC(BLDC) motor drive. BLDC motor sensorless drive is possible by estimation of ZCP. The ZCP estimated by detecting a change of back-EMF polarity has the estimation error because noises exist on the measured back-EMF. Therefore a calculated commutation timing using the ZCP is inaccurate. And the inexact commutation timing leads to ripples of 3-phase current and degradation of drive performance. This paper proposes the design method of the PLPF to overcome these problems. First, a speed calculated a inaccurate period of the ZCP is analyzed in the frequency domain. Then, the PLPF that has varying cut-off frequency according to change of the speed is designed on the frequency analysis result. The proposed method is verified by the experiment.

• 전력전자학회:학술대회논문집
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• 전력전자학회 1997년도 전력전자학술대회 논문집
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• pp.161-165
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• 1997

For high performance ac drives, the speed sensorless vector control and the stator flux orientation concept have received increasing attention. This paper presents a new method of estimation the speed of AC induction machine(IM). To improve the speed estimation characteristics, accurate stator resistance variation is considered. The effectiveness of the proposed method is verified computer simulation.

• 전력전자학회논문지
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• 제3권4호
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• pp.346-352
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• 1998

본 논문에서는 새로운 신경 회로망 유도 전동기 속도 추정 방법을 제안하고, 추정된 속도를 이용하여 속도 센서리스 벡터 제어를 구현한다. 제안된 신경 회로망 속도 추정 방법은 정상 상태뿐 아니라 과도 상태에서도 정확한 속도를 추정한다. 또한 off-line에 의해 사전 학습을 필요로 하지 않고, 유도 전동기의 구동과 동시에 on-line 학습을 통하여 속도를 실시간으로 추정함으로써 구현이 용이하다. 디지털 시뮬레이션과 2.2kW 유도 전동기 시스템을 이용한 실험을 통하여 제안된 알고리즘의 효용성과 성능을 입증한다.

• 한국자동차공학회논문집
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• 제10권6호
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• pp.234-240
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• 2002

This paper treats the problem of estimating the longitudinal velocity of a braking vehicle using measurements from an accelerometer and wheel speed data from standard anti-lock braking wheel speed sensors. We develop and experimentally test three velocity estimation algorithms of increasing complexity. The algorithm that works the best gives peak errors of less than 3 percent even when the accelerometer signal is significantly biased.

• 대한전기학회논문지
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• 제39권9호
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• pp.928-933
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• 1990

In the vector controlled induction machine drives, mechanical speed sensors such as shaft encoder and resolver have been used. However, the mechanical speed sensors present some problems and restrict the wide applications of high performance AC drives. This paper describes the vector strategy with the speed estimation algorithm in which motor slip frequency is calculated. Also, the angle deviation of the rotor flux vector is calculated and instantaneously compensated to keep the q axis flux zero in the rotational reference frame.

• 한국항행학회논문지
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• 제14권5호
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• pp.677-683
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• 2010

본 논문에서는 고속 Binary CDMA 시스템에 적합한 채널 추정 방식을 제안하고 성능을 분석하였다. 고차 변조를 사용하는 고속 Binary CDMA에서는 프리앰블 구간 동안에 동화기가 충분히 수혐하지 못하면 BER 성능이 저하되기 때문에, 채널 추정을 통하여 최적의 동화기 계수를 결정해야한다. 본 논문에서는 프리엠블 구간에 CAZAC 수열이 반복되는 특징을 이용하여 복잡도는 조금 증가하면서 추정 성능을 향상시킬 수 있는 채널 추정 방식을 제안하였다. 시뮬레이션 결과로부터, 제안된 채널 추정 방식이 기존의 방식에 비해 성능 열화없이 간단하게 구현할 수 있음을 알 수 있다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.768-772
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• 2009

This paper proposes a method for measurement three-dimensional trajectories of bubbles generated around a swimmer's arms from stereo high-speed camera videos. This method is based on two techniques: two-dimensional trajectory estimation in single-camera images and trajectory pair matching in stereo-camera images. The two-dimensional trajectory is estimated by block matching using similarity of bubble shape and probability of bubble displacement. The trajectory matching is achieved by a consistensy test using epipolar constraint in multiple frames. The experimental results in two-dimensional trajectory estimation showed the estimation accuracy of 47% solely by the general optical flow estimation, whereas 71% taking the bubble displacement into consideration. This concludes bubble displacement is an efficient aspect in this estimation. In three-dimensional trajectory estimation, bubbles were visually captured moving along the flow generated by an arm; which means an efficient material for swimmers to swim faster.

• 해양환경안전학회지
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• 제24권4호
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• pp.381-388
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• 2018

본 연구에서는 선박의 속력을 고려한 해상교통량 평가 방법을 제안하였으며, 이를 선박의 속력을 고려하지 않은 기존의 방법과 비교하였다. 평가를 위하여 평택 당진항 10일간의 GICOMS 자료를 본 연구에 적용하였다. 그 결과 제안된 방법으로 평가된 환산교통량은 기존의 평가 방법에 비해 4.41(${\pm}0.99$)배 증가하거나, 0.59(${\pm}0.04$)배 감소하는 것으로 나타났다. 제안된 평가 방법을 적용한 각 시간대별 평균 해상교통혼잡도는 기존의 평가 방법 결과에 비해 1.43(${\pm}0.10$)배 높게 나타났으며, 각 시간대별 최대 해상교통혼잡도는 1.62(${\pm}0.34$)배 높게 나타났다. 해상교통혼잡도 최대 평가 결과인 피크타임 해상교통혼잡도는 선박의 속력 분포로 인하여 기존의 평가 방법과 다르게 평가됨을 확인하였다. 결과적으로 선박의 속력은 실용교통용량 평가 시 중요 값으로 적용되기 때문에 해상교통량을 평가할 때 선박의 속력을 고려하여야 할 것으로 사료된다.

• 전기학회논문지
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• 제56권2호
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• pp.311-316
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• 2007

This paper proposes the algorithm which estimates moment of the inertia and friction coefficient of friction for high performance speed control of electric motor. The proposed algorithm finds the moment of inertia and friction coefficient of friction by observing the speed error signal generated by the speed observer and using Recursive Least-Mean-Square method(RLS). By feedbacking the estimated inertia and estimated coefficient of friction to speed controller and full order speed observer, then the errors of the inertia and coefficient of friction and speed due to the inaccurate initial value are decreased. Inertia and coefficient of friction converge to the actual value within several times of speed changing. Simulation and actual experiment results are given to demonstrate the effectiveness of the proposed parameter estimator.

• 한국정밀공학회지
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• 제19권9호
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• pp.51-58
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• 2002

Vehicle dynamics control systems are. complex and non-linear, so they have difficulties in developing a controller for the anti-lock braking systems and the auto-traction systems. Currently the fuzzy-logic technique to estimate the absolute vehicle speed is good results in normal conditions. But the estimation error in severe braking is discontented. In this paper, we estimate the absolute vehicle speed by using the wheel speed data from standard 50-tooth anti-lock braking system wheel speed sensors. Radial symmetric basis function of the neural network model is proposed to implement and estimate the absolute vehicle speed, and principal component analysis on input data is used. Ten algorithms are verified experimentally to estimate the absolute vehicle speed and one of those is perfectly shown to estimate the vehicle speed with a 4% error during a braking maneuver.