• 제목/요약/키워드: Sensor positioning

검색결과 538건 처리시간 0.024초

PZT 나노 스테이지를 이용한 광센서의 위치결정 (A Position Decision of Photo Sensor using a PZT Nano Positioning Stage)

  • 차영엽
    • 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.

평면도 기상 측정 방법 개발 (Development of On-machine Flatness Measurement Method)

  • 장문주;홍성욱
    • 한국정밀공학회지
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    • 제20권3호
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    • pp.187-193
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    • 2003
  • This paper presents an on-machine measurement method of flatness error fur surface machining processes. There are two kinds of on-machine measurement methods available to measure flatness errors in workpieces: i.e., surface scanning method and sensor scanning method. However, motion errors are often engaged in both methods. This paper proposes an idea to realize a measurement system of flatness errors and its rigorous application for estimation of motion errors of the positioning system. The measurement system is made by modifying the straightness measurement system, which consists of a laser, a CCD camera and processing system, a sensor head, and some optical units. The sensor head is composed of a retroreflector, a ball and ball socket, a linear motion guide unit and adjustable arms. The experimental .results show that the proposed method is useful to identify flatness errors of machined workpieces as well as motion errors of positioning systems.

A Study of Unmanned Aerial Vehicle Path Planning using Reinforcement Learning

  • Kim, Cheong Ghil
    • 반도체디스플레이기술학회지
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    • 제17권1호
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    • pp.88-92
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    • 2018
  • Currently drone industry has become one of the fast growing markets and the technology for unmanned aerial vehicles are expected to continue to develop at a rapid rate. Especially small unmanned aerial vehicle systems have been designed and utilized for the various field with their own specific purposes. In these fields the path planning problem to find the shortest path between two oriented points is important. In this paper we introduce a path planning strategy for an autonomous flight of unmanned aerial vehicles through reinforcement learning with self-positioning technique. We perform Q-learning algorithm, a kind of reinforcement learning algorithm. At the same time, multi sensors of acceleraion sensor, gyro sensor, and magnetic are used to estimate the position. For the functional evaluation, the proposed method was simulated with virtual UAV environment and visualized the results. The flight history was based on a PX4 based drones system equipped with a smartphone.

SDINS에서 의사 자이로 바이어스 보상 기법 (Compensation of Pseudo Gyro Bias in SDINS)

  • 박정민
    • Journal of Positioning, Navigation, and Timing
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    • 제13권2호
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    • pp.179-187
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    • 2024
  • The performance of a Strapdown Inertial Navigation System (SDINS) relies heavily on the accuracy of sensor error calibration. Systematic calibration is usually employed when only a 2-axis turntable is available. For systematic calibration, the body frame is commonly defined with respect to sensor axes for ease of computation. The drawback of this approach is that sensor axes may undergo time-varying deflection under temperature change, causing pseudo gyro bias. The effect of pseudo gyro bias on navigation performance is negligible for low grade navigation systems. However, for higher grade systems undergoing rapid temperature change, the error is no longer negligible. This paper describes in detail conditions leading to the presence of pseudo gyro bias, and proposes two techniques for mitigating the error. Experimental results show that applying these techniques improves navigation performance for precision SDINS, especially under rapid temperature change.

BURR SIZE MEASUREMENT USING A CAPACITANCE SENSOR

  • Lee, Seoung-Hwan
    • 한국생산제조학회지
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    • 제8권4호
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    • pp.29-37
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    • 1999
  • This paper involves the "on-line" measurement of burrs using a capacitance sensor. A non-contact capacitance gauging sensor is attached to an ultra precision milling machine which was used as a positioning system The setup is used to measure burr profiles along machined workpiece edges. Experimental procedures and results as well as the basic theoretical principles of the capacitance sensor and specifications of related equipment are presented. The proposed scheme is shown to be accurate easy to setup and with minor modifications readily applicable to automatic deburring processes.processes.

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무선 센서망에서의 주파수 차이 추정 비동기 Ranging 방식 (Asynchronous Ranging Method using Estimated Frequency Differences in Wireless Sensor Networks)

  • 남윤석;허재두
    • 정보처리학회논문지C
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    • 제15C권1호
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    • pp.31-36
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    • 2008
  • 무선 센서망에서 이동노드의 위치를 추정하는데 센서노드의 클럭주파수 차이는 TOF 추정에 중요한 파라메타이며, 이동노드와 고정노드 간의 거리 추정에 크게 영향을 미친다. IEEE802.15.4a에서는 별도의 유선 등에 의한 망동기 공급이 없는 상태에서도 주파수 차이에 둔감한 비동기 TWR 및 SDS-TWR 거리 추정 방식을 제안하고 있다. 그러나 제안된 비동기 TWR 및 SDS-TWR 방식은 여전히 노드 쌍에 따른 주파수 차이, 프레임 처리 시간, 프레임 처리 시간 차이 등에 의한 영향을 충분히 제거하지 못하고 있다. 특히 주파수 차이가 큰 저가의 발진기 사용, 서로 다른 하드웨어 및 소프트웨어에서 동작하는 센서노드는 더 큰 위치추정 오류를 유발할 수 있다. 본 논문은 주파수 차이를 추정하는 방식을 제안하고, 기존의 TWR 및 SDS-TWR 방식에 적용하였다. 시뮬레이션을 통하여 주파수 차이 추정을 적용한 제안된 방식은 주파수 차이의 영향을 감소시켜 TWR 및 SDS-TWR 등의 성능을 개선시켰으며, 25cm 이하의 위치오류가 발생하는 것을 확인하였다.

멀티센서 데이터 융합에 의한 차륜형 이동체 위치추정시스템의 정도 개선에 관한 연구 (A Study on the Improvement of the Accuracy of a Wheeled Vehicle Positioning System by Multisensor Data Fusion)

  • 최진규;하윤수
    • Journal of Advanced Marine Engineering and Technology
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    • 제24권1호
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    • pp.119-126
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    • 2000
  • In constructing the positioning system based on a conventional dead-reckoning for a wheeled vehicle with pneumatic tires, the position estimation error is inevitable as changes of the radius of the wheels depend on live load and variable enviroment. Therefore, this paper proposes the positioning system which can estimate the error source i.e. the vehicle parameter errors, such as the right and left wheel radius error, using gyroscope and ultrasonic sensor and correct the parameter to reduce the dead-reckoned position estimation error. The extended Kalman filter was used as a method for the multisensor data fusion. The simulation to verify the effectiveness of the proposed positioning system is performed.

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공기정합 스테이지의 위치결정오차 분석 및 보정 (Analysis and compensation of positioning error for aerostatic stage)

  • 황주호;박천홍;이찬흥;김승우
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2002년도 춘계학술대회 논문집
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    • pp.378-391
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    • 2002
  • A 250mm stroke aerostatic stage, which detects position with laser scale and is driven by linear motor, is made and analyzed positioning error in 20$\pm$ 0.5 $^{\circ}C$ controlled atmosphere, aiming at investigating positioning characteristic of ultra-precision stage. We prove this aerostatic stage has a 10nm micro step resolution by experiment. By means of analyzing laser interferometer system, the scale of measuring error is about 0.2-0.4$\mu\textrm{m}$ according to refractive index error from missing the temperature change. To improve laser interferometer system, compensate refractive index error using measuring data from thermocouple. And, confirm 0.10$\mu\textrm{m}$ repeatability and 0.13 $\mu\textrm{m}$ positioning accuracy using the compensating refractive index. Also, we confirm 0.07 ${\mu}{\textrm}{m}$ repeatability of the stage using capacitive displacement sensor.

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초음파 위치 센서를 이용한 차량 로봇의 경로 추종에 관한 연구 (A Study for Path Tracking of Vehicle Robot Using Ultrasonic Positioning System)

  • 윤석민;여태경;박성재;홍섭;김상봉
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회A
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    • pp.795-800
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    • 2008
  • The paper presents research for the established experiment environment of multi vehicle robot, localization algorithm that is based on vehicle control, and path tracking. The established experiment environment consists of ultrasonic positioning system, vehicle robot, server and wireless module. Ultrasonic positioning system measures positioning for using ultrasonic sensor and generates many errors because of the influence of environment such as a reflection of wall. For a solution of this fact, localization algorithm is proposed to determine a location using vehicle kinematics and selection of a reliable location data. And path tracking algorithm is proposed to apply localization algorithm and LOS, finally, that algorithms are verified via simulation and experimental

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Development of an INS Integrated Positioning System for Assisting Effective Fire-fighting Activity

  • Suh, Yong-Cheol;Kumagai, Hideo;Konishi, Yusuke;Shibasaki, Ryosuke
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.946-948
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    • 2003
  • This paper describes the development of an INS (Inertial Navigation System) integrated positioning system, which can monitor and track the firefighter's position for assisting effective fire-fighting activity and rescue services. The INS consists of highly accurate three-axis gyro sensor and three-axis accelerometer. By integrating an INS to positioning system, it is also possible to obtain the information of firefighter's physical state (e.g. standing, collapse and crouch) of posture including velocity. Consequently, this research would obviously make a contribution to effective rescue activities and safety of firefighters. Besides, this paper presents results from field tests conducted at Tokyo University demonstrating its viability and utility. We also summarize the overall system requirements and architecture, and describe the hardware and software used in the prototype system in detail.

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