• 대한전기학회:학술대회논문집
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• 대한전기학회 1994년도 하계학술대회 논문집 A
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• pp.363-365
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• 1994

In switched reluctance motors(SRM), shaft position sensing is essential in order to synchronize the excitation pulse of a pertinent phase to the rotor position. This paper describes the operation of SRM drive using a simple position sensor of low cost. The position sensor is composed of a slotted disk similar to the rotor core shape of a prototype 6/4 SRM and three opto-interrupters disposed at an angle of 30 degrees. The phase current waveforms measured at several rotor speeds in experiment arc compared with those obtained through the computer simulation.

• 조명전기설비학회논문지
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• 제28권10호
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• pp.37-42
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• 2014

This paper discusses study of sensorless control of a variable speed switched reluctance motor (SRM) for electric AC compressors on electrical vehicles. A typical SRM drive requires a position sensor such as an encoder or hall sensor to measure the angular rotor position. However, harsh environment in electrical AC compressors for electric vehicles makes it difficult to use the position sensor in their motor drive system. Therefore, a sensorless control scheme for electric compressor motors utilizing magnetic characteristics of SRM with respect to position angle and phase current is proposed. The overall variable speed SRM drive with position sensorless control scheme has been modeled using Matlab/Simulink software and closed loop current control simulation is presented to validate the proposed sensorless drive control.

• 로봇학회논문지
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• 제15권1호
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• pp.70-76
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• 2020

Multi-floor navigation of a mobile robot requires a technology that allows the robot to safely get on and off the elevator. Therefore, in this study, we propose a method of recognizing the elevator from the current position of the robot and estimating the location of the elevator locally so that the robot can safely get on the elevator regardless of the accumulated position error during autonomous navigation. The proposed method uses a deep learning-based image classifier to identify the elevator from the image information obtained from the RGB-D sensor and extract the boundary points between the elevator and the surrounding wall from the point cloud. This enables the robot to estimate the reliable position in real time and boarding direction for general elevators. Various experiments exhibit the effectiveness and accuracy of the proposed method.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2010년도 춘계학술대회 논문집
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• pp.1366-1370
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• 2010

This paper supposes the vector control algorithm to estimate the rotor position of permanent magnet synchronous traction motor using the hall-effect sensor. The hall-effect provides 60 electrical degrees resolution in rotor position sensing and it is very low resolution. The algorithm makes resolution high as optical encoders or electromagnetic resolver. If necessary, the reference rotor position angle is controlled by adjusting the variable. When a rotor position sensor such as either a optical encoder or a electromagnetic resolver is misalignment, it is useful to align with those. The method on adjusting the reference rotor position angle can compensate for misalignment error degrees by 60 electrical degrees.

• 전기학회논문지P
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• 제66권2호
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• pp.53-57
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• 2017

This papers propose a Hall-effect sensors position error compensation method in a sunroof system using a BLDC motor with a low-cost MCU. If the BLDC motor is controlled with this wrong position, the torque ripple and operating current can be increased and the average torque also decreases. Generally, sunroof system has characteristics that operate at constant load for several seconds. It is possible to find the minimum operating current value while changing the position of the Hall-effect sensor during the sunroof operation by using these characteristics. Therefore, propose a method to change the Hall-effect sensor position and find the minimum current value. The validity of the proposed algorithm is verified through experiments.

• 제어로봇시스템학회논문지
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• 제22권4호
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• pp.271-275
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• 2016

For machining systems like the motor driven linear stage which have high precision positioning with a long stroke, it is necessary to examine the repeatability of the reference position decision. Though piezo (PZT) actuator driven linear stages have high precision feed drivers and a short stroke, they have some limitations for reference position decisions if they have not been equipped with an accurate home sensor. This study was performed to examine the repeatability for home position decision of a EE-SX671 photo sensor as a home switch by using piezo actuator driven linear stages and capacitance probe.

• 드라이브 ㆍ 컨트롤
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• 제13권1호
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• pp.49-53
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• 2016

The accurate calculation of bucket tip position has a large influence on showing the motion of an excavator on the display device of the excavator and controlling the excavator automatically. It is generally known that Inertial Measurement Unit (IMU) sensors are more accurate than accelerometer-based sensors while the boom, arm or bucket moves because additional forces beyond gravity add additional acceleration to the sensors. To prove the accuracy difference between the two types of sensors, a position recognition system using an accelerometer-based sensor and an IMU sensor is implemented on the excavator. The experimental results show that the system using the IMU sensor significantly reduces the position recognition error while bucket moves and additional force beyond gravity exists.

• 한국전자파학회논문지
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• 제20권9호
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• pp.943-953
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• 2009

본 논문에서는 추적식 태양광 발전 시스템에 응용하기 위한 태양 위치 측정용 전파 센서 수신기의 설계, 제작 및 성능 실험에 관한 과정 및 결과를 소개한다. 먼저, 전파 센서에 대한 요구 성능인 ${\pm}5^{\circ}$ 이내의 위치 측정 오차 범위를 만족시키기 위한 수신기의 사양을 구하였고, 이를 토대로 수신기를 설계하였다. 설계된 수신기의 시스템 이득 및 잡음 지수의 budget 분석을 통해 설계의 적절성을 점검하였으며, 이 결과를 활용하여 수신 주파수 5.1 GHz, 대역폭 104 MHz로 69 dB의 시스템 이득과 0.46 K 이내의 수신 감도를 갖는 고이득, 고감도 광대역 수신기를 제작하였다. 제작된 수신기와 표준 혼 안테나로 구성된 전파 센서로 흐린 날 실제 태양을 대상으로 실험한 결과, ${\pm}4^{\circ}$ 이내의 오차 범위로 태양의 위치를 실시간으로 측정하는데 성공하여 요구 성능이 만족되었음을 검증하였다.

• 대한전자공학회논문지SD
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• 제41권2호
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• pp.27-32
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• 2004

Absolute optical angle 센서는 디지털 광학 장치의 핵심적인 부분이라고 말할 수 있으며, 이 장치의 목적은 Pseudorandom-code와 Geometry-code를 이 용하여 코드화된 원판(coded disk)의 상대적/절대적 변위 (Relative/Absolute angle position)를 해결하기 위함이다. 이 기술에서 디스크의 각 위치(Angular position)는 먼저 Pseudorandom-code에 의해 "Coarse" angle이 검출되어 결정되어지며, 그런 다음 Geometry-code의 Pixel 계산에 의해서 얻어지는 "Fine" angular position 데이터는, 7㎛의 Line image 센서를 사용 시, 시스템의 0.006°분해능 결과를 구할 수 있다. 제안된 기술은 비접촉 반사 특성, 시스템의 높은 분해능, 상대적으로 간단한 코트 패턴 그리고 센서의 고유한 디지털 성질을 갖는 등 많은 면에서 새로운 방식이다 더 나아가서 시스템은 두 개의 코드화된 원판에 적용하여 얻어진 절대 자의 변형(Absolute angular displacement)을 관찰하는 방식으로 쉽게 토크 센서로 변경할 수 있다. 제안된 센서의 디지털 광전 특성은 토크와 각을 동시에 측정함으로써 자동 차량 시스템에 사용 시 이상적인 시스템을 만든다. 본문에서는 코드화된 원판의 정확한 각 위치(Angular position)를 결정하기 위하여 Pseudo random-code와 Geometry-code를 활용한 기술을 제안하며, 아이디어의 실행 가능성을 구현하는 실험 결과를 제시하였다.

• International Journal of Automotive Technology
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• 제7권7호
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• pp.827-832
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• 2006

Occupant classification and position detection have been significant research areas in intelligent safety systems in the automotive field. The detection and classification of seat occupancy open up new ways to control the safety system. This paper deals with a novel algorithm development, hardware implementation and testing of a prototype intelligent safety system for occupant classification and position detection for in-vehicle environment. Borland C++ program is used to develop the novel algorithm interface between the sensor and data acquisition system. MEMS strain gauge hermatic pressure sensor containing micromachined integrated circuits is installed inside the passenger seat. The analog output of the sensor is connected with a connector to a PCI-9111 DG data acquisition card for occupancy detection, classification and position detection. The algorithm greatly improves the detection of whether an occupant is present or absent, and the classification of either adult, child or non-human object is determined from weights using the sensor. A simple computation algorithm provides the determination of the occupant's appropriate position using centroidal calculation. A real time operation is achieved with the system. The experimental results demonstrate that the performance of the implemented prototype is robust for occupant classification and position detection. This research may be applied in intelligent airbag design for efficient deployment.