• 전기학회논문지
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• 제65권11호
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• pp.1894-1899
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• 2016

In this paper, because the position sensor represents the important factor in BLDC (Brushless DC) motor drives, BLDC motor is necessary that the three Hall-sensors evenly be distributed around the stator circumference in case of the 3 phase motor. The Hall-sensor is set up in this motor to detect the main flux from the rotor. So the output signal from Hall-sensor is used to drive IGBT to control the stator winding current. However, in case of breakdown Hall sensor, we research that the estimation algorithm of Hall sensor signal to detect rotor position and for the speed feedback signals with BLDC motor whose six stator and two rotor designed. In addition, this paper presents a sensorless speed control of BLDC Motor using terminal voltage of the one phase. Rotor position information is extracted by indirectly sensing the back EMF from only one of the three terminal voltages for a three-phase BLDC motor.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2007년도 추계학술대회 논문집
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• pp.154-156
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• 2007

This paper proposes new vector control method that using two rectangular hall sensors instead of using the expensive encoder and resolver. The proposed method is similar to T-method. But the proposed method measures the speed using two hall sensors signals instead of encoder signal. The proposed new speed estimation method is stable under the rated speed range. This algorithm will be able to moderate prices of the whole system and apply for the unfit place for use encoder and resolver.

• 조명전기설비학회논문지
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• 제22권2호
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• pp.120-127
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• 2008

본 논문은 고가의 위치 측정 센서인 엔코더나 레졸버를 사용하지 않고 구형파를 발생시키는 2개의 홀센서를 사용하는 벡터 제어방식을 제안하였다. 이 방식은 엔코더 출력 펄스 신호 대신에 2개의 홀센서에서 발생되는 구형파신호를 4체 배한 신호를 이용하여 속도와 위치를 추정한다. 구형파를 발생시키는 2개의 홀센서로서 영구자석형 동기전동기의 벡터 제어를 구현하였을 때 정격속도 범위 내에서 안정적으로 제어되는 것을 실험과 시뮬레이션을 통하여 확인하였다. 2개의 홀센서를 이용한 벡터 제어는 전체 시스템의 비용을 절감시킬 뿐 아니라, 협소한 공간에도 취부 할 수 있으므로 엔코더나 레졸버의 장착이 어려운 곳에 적용될 수 있다.

• 전기학회논문지
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• 제61권11호
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• pp.1758-1764
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• 2012

A large number of wire rope has been used in various inderstiries as Cranes and Elevators from expanding the scale of the industrial market. But now, the management of wire rope is used as manually operated by rope replacement from over time or after the accident.It is caused to major accidents as well as economic losses and personal injury. Therefore its time to need periodic fault diagnosis of wire rope or supply of real-time monitoring system. Currently, there are several methods has been reported for fault diagnosis method of the wire rope, to find out the feature point from extracting method is becoming more common compared to time wave and model-based system. This method has implemented a deterministic modeling like the observer and neural network through considering the state of the system as a deterministic signal. However, the out-put of real system has probability characteristics, and if it is used as a current method on this system, the performance will be decreased at the real time. And if the random noise is occurred from unstable measure/experiment environment in wire rope system, diagnostic criterion becomes unclear and accuracy of diagnosis becomes blurred. Thus, more sophisticated techniques are required rather than deterministic fault diagnosis algorithm. In this paper, we developed the fault diagnosis of the wire rope using probability density estimation techniques algorithm. At first, The steady-state wire rope fault signal detection is defined as the probability model through probability distribution estimate. Wire rope defects signal is detected by a hall sensor in real-time, it is estimated by proposed probability estimation algorithm. we judge whether wire rope has defection or not using the error value from comparing two probability distribution.