• 제목/요약/키워드: Tilt Angle Sensor

검색결과 62건 처리시간 0.025초

Spot 영상과 Kompsat-2 영상에서의 궤도 자세각 모델의 성능 비교 (Comparison of Orbit-attitude Model between Spot and Kompsat-2 Imagery)

  • 정재훈;김태정
    • 대한원격탐사학회지
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    • 제25권2호
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    • pp.133-143
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    • 2009
  • 이 논문은 엄격한 물리적 센서 모델인 궤도 자세각 모델이 위성체의 자세제어 방식이 다른 두 위성 영상에 적용한 경우 나타나는 성능의 차이를 기술한다. 영상 취득 시 Spot 위성은 거울 회전(mirror-tilt) 방식을 채택하고 있으며 Kompsat-2 위성은 몸통 회전(body-tilt) 방식을 채택하고 있다. 이 논문은 선행 연구에서 이미 우수한 성능이 검증된 궤도 자세각 모델로 연구의 범위를 제한하며 미지수 조합에 따른 센서 모델 정확도 및 3차원 좌표 산출 정확도를 통해 두 영상에서 나타나는 모델 성능의 차이를 비교한다. 실험 결과는 동일한 궤도 자세각 모델이 두 영상에 대해 다른 성능이 나타남을 보여주고 있으며 Spot 위성의 경우에는 자세 각 미지수가 포함된 모델을, Kompsat-2 영상의 경우에는 많은 개수의 미지수를 갖는 모델을 사용하는 것이 효율적임을 제안한다. 이는 동일한 모델이라 하더라도 센서의 영상 취득 방식과 그로 인한 자세 추정의 정확도에 따라 다르게 적용되는 것이 효과적일 수 있음을 나타낸다. 이러한 차이를 이해하는 것은 향후 모델 정확도 개선과 새로운 영상에 대한 모델 적용을 위한 중요한 토대가 될 것이다.

PSD 센서와 Laser를 이용한 데이터 전송 시스템 구현 (Implementation of Data Transmission System Using PSD Sensor and Laser Diode Module)

  • 김명환;마근수;이재득
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 제36회 하계학술대회 논문집 D
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    • pp.3016-3018
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    • 2005
  • The PSD(Position Sensitive Detector) is a sensor for detecting the position of incident light. Because of its various advantages, it is used for position and angle sensing, optical range finders, laser displacement sensing, and etc. In the previous study of the position finding system, the laser tracking robot is developed. Small data rate and unidirectionality is the characteristics of data communication both DSP-based pan/tilt control board and the robot. If we can transmit data to the target using PSD sensor and laser diode module, there is no need for communication devices such as the bluetooth and wireless module. For this reason, this paper presents the new method for data transmission. Transmit data using RS-232 is modulated by a VTF(Voltage To Frequency) converter The laser diode module transmits the modulated data. And then the PSD sensor receive that data. Demodulation process is accomplished by the system which is consisted with trans-impedance amplifier, FTV(Frequency To Voltage) converter, and etc.

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NREH: 다양한 운동과 데이터 수집이 가능한 가정용 상지재활로봇 (NREH: Upper Extremity Rehabilitation Robot for Various Exercises and Data Collection at Home)

  • 송준용;이성훈;송원경
    • 로봇학회논문지
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    • 제18권4호
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    • pp.376-384
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    • 2023
  • In this paper, we introduce an upper extremity rehabilitation robot, NREH (NRC End-effector based Rehabilitation arm at Home). Through NREH, stroke survivors could continuously exercise their upper extremities at home. NREH allows a user to hold the handle of the end-effector of the robot arm. NREH is a end-effector-based robot that moves the arm on a two-dimensional plane, but the tilt angle can be adjusted to mimic a movement similar to that in a three-dimensional space. Depending on the tilting angle, it is possible to perform customized exercises that can adjust the difficulty for each user. The user can sit down facing the robot and perform exercises such as arm reaching. When the user sits 90 degrees sideways, the user can also exercise their arms on a plane parallel to the sagittal plane. NREH was designed to be as simple as possible considering its use at home. By applying error augmentation, the exercise effect can be increased, and assistance force or resistance force can be applied as needed. Using an encoder on two actuators and a force/torque sensor on the end-effector, NREH can continuously collect and analyze the user's movement data.

Total reference-free displacements for condition assessment of timber railroad bridges using tilt

  • Ozdagli, Ali I.;Gomez, Jose A.;Moreu, Fernando
    • Smart Structures and Systems
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    • 제20권5호
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    • pp.549-562
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    • 2017
  • The US railroad network carries 40% of the nation's total freight. Railroad bridges are the most critical part of the network infrastructure and, therefore, must be properly maintained for the operational safety. Railroad managers inspect bridges by measuring displacements under train crossing events to assess their structural condition and prioritize bridge management and safety decisions accordingly. The displacement of a railroad bridge under train crossings is one parameter of interest to railroad bridge owners, as it quantifies a bridge's ability to perform safely and addresses its serviceability. Railroad bridges with poor track conditions will have amplified displacements under heavy loads due to impacts between the wheels and rail joints. Under these circumstances, vehicle-track-bridge interactions could cause excessive bridge displacements, and hence, unsafe train crossings. If displacements during train crossings could be measured objectively, owners could repair or replace less safe bridges first. However, data on bridge displacements is difficult to collect in the field as a fixed point of reference is required for measurement. Accelerations can be used to estimate dynamic displacements, but to date, the pseudo-static displacements cannot be measured using reference-free sensors. This study proposes a method to estimate total transverse displacements of a railroad bridge under live train loads using acceleration and tilt data at the top of the exterior pile bent of a standard timber trestle, where train derailment due to excessive lateral movement is the main concern. Researchers used real bridge transverse displacement data under train traffic from varying bridge serviceability levels. This study explores the design of a new bridge deck-pier experimental model that simulates the vibrations of railroad bridges under traffic using a shake table for the input of train crossing data collected from the field into a laboratory model of a standard timber railroad pile bent. Reference-free sensors measured both the inclination angle and accelerations of the pile cap. Various readings are used to estimate the total displacements of the bridge using data filtering. The estimated displacements are then compared to the true responses of the model measured with displacement sensors. An average peak error of 10% and a root mean square error average of 5% resulted, concluding that this method can cost-effectively measure the total displacement of railroad bridges without a fixed reference.

둔부의 압력분포 비교를 이용한 고령자용 기립보조의자의 기립 최적각도 제안 (A proposal of the Optimal Angle of Standing Assistant Chair for the Elderly by Comparing of Pressure Distribution on Hip)

  • 장성호;백지훈;이중언;;강석완;이왕범
    • 산업경영시스템학회지
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    • 제41권3호
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    • pp.108-114
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    • 2018
  • One of the most performed action in daily life is standing up from sitting position. As the population of the world is aging at the high rates, people may face problems with reduced muscle strength as well as psychological changes. This can lead elderly people having difficulties with standing up from chair. Now, with the aging trend worldwide, products are being developed that can support the lives of the elderly. This study examines the distribution of hip pressure in relation to the seating positions of the standing assistance seats under development to prevent standing up accidents in older adults. The currently developing standing assistant chair designed to tilt to a maximum angle of 25 degrees. At over $25^{\circ}$, design considers that older people are at risk of thrown back out of that force and that the forces exerted on their arms and legs can be a significant burden to older people. By considering danger of higher than $25^{\circ}$ for older people which is experimented in the basis of static capturing approach in previous papers, it is experimented people with age group of 20~60 on $0^{\circ}$ to $25^{\circ}$ tilting angle on the basis of dynamic capturing method in order to pick convenient angle of inclination. Moreover, tried to find the optimum angle by comparing the hip pressure distribution when seated at the edge of the seat and at the center of the seat with the pressure distribution sensor.

야외 순찰로봇을 위한 단일 레이저거리센서 기반 충돌 회피 주행 제어기법 개발 (Motion Control of an Outdoor Patrol Robot using a Single Laser Range Finder)

  • 홍승범;신유진;정우진
    • 제어로봇시스템학회논문지
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    • 제16권4호
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    • pp.361-367
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    • 2010
  • This paper reports the development of a mobile robot for patrol using a single laser range finder. A Laser range finder is useful for outdoor environment regardless of illumination change or various weather conditions. In this paper we combined the motion control of the mobile robot and the algorithm for detecting the outdoor environment. For obstacle avoidance, we adopted the Vector Field Histogram algorithm. A laser range finder is mounted on the mobile robot and looking down the road with a small tilt angle. We propose an algorithm for detecting the surface of the road. The outdoor patrol robot platform is equipped with a DGPS system, a gyro-compass sensor, and a laser range finder. The proposed obstacle avoidance and road detection algorithms were experimentally tested in success.

지게차 마스트 작동내구를 위한 실차 기반 무인시험장치 개발 (Development of an Unmanned Test System Based on Forklift for Mast Operation Durability)

  • 조재홍;나선준;김민석;박명관
    • 드라이브 ㆍ 컨트롤
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    • 제19권4호
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    • pp.70-76
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    • 2022
  • In this paper, we develops an unmanned test system for the purpose of realizing an actual forklift-based test-bed for the operation durability of the forklift mast. First, two robot actuators were applied to the lever to replace lever manipulation of the operator. For detecting the height of the fork and the tilt angle of the mast, the laser displacement sensor and the inclinometer were installed to the forklift. Next, the embedded control system was used to control the robot actuator with reference to test mode. Experimental evaluation verified that developed test system was effective and practical for the viewpoint of the repeatability of the test mode.

IMU 원신호 기반의 기계학습을 통한 충격전 낙상방향 분류 (Classification of Fall Direction Before Impact Using Machine Learning Based on IMU Raw Signals)

  • 이현빈;이창준;이정근
    • 센서학회지
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    • 제31권2호
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    • pp.96-101
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    • 2022
  • As the elderly population gradually increases, the risk of fatal fall accidents among the elderly is increasing. One way to cope with a fall accident is to determine the fall direction before impact using a wearable inertial measurement unit (IMU). In this context, a previous study proposed a method of classifying fall directions using a support vector machine with sensor velocity, acceleration, and tilt angle as input parameters. However, in this method, the IMU signals are processed through several processes, including a Kalman filter and the integration of acceleration, which involves a large amount of computation and error factors. Therefore, this paper proposes a machine learning-based method that classifies the fall direction before impact using IMU raw signals rather than processed data. In this study, we investigated the effects of the following two factors on the classification performance: (1) the usage of processed/raw signals and (2) the selection of machine learning techniques. First, as a result of comparing the processed/raw signals, the difference in sensitivities between the two methods was within 5%, indicating an equivalent level of classification performance. Second, as a result of comparing six machine learning techniques, K-nearest neighbor and naive Bayes exhibited excellent performance with a sensitivity of 86.0% and 84.1%, respectively.

전자유압 비례밸브와 경사센서를 이용한 농용 프론트 로더 버켓 능동수평유지 시스템 개발 (Development of a self-leveling system for the bucket of an agricultural front-end loader using an electro hydraulic proportional valve and a tilt sensor)

  • 이창주;하종우;최덕수;김학진
    • 드라이브 ㆍ 컨트롤
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    • 제12권4호
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    • pp.60-70
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    • 2015
  • A front-end loader (FEL) mounted on an agricultural tractor is one of the most commonly used implements for farm work. However, when the tractor carries material using the bucket attached to the FEL on a sloping ground, the materials can spill or roll back over the operator due to the tilted body, thereby requiring the bucket surface to remain level at a constant value regardless of varying slopes. In this study, an active system for controlling the angle of the FEL bucket on a tractor based on the real-time measurement of ground slopes was developed to enable the bucket to constantly remain level. A FEL simulator operated based on an electro hydraulic proportional valve (EHPV) was constructed in the laboratory to develop a proportional-integral-derivative (PID) controller forming a virtual electronic control unit (ECU) on the computer, which could automatically adjust the bucket angles depending on varying input angles while sending SAE-J1939 associated messages via CAN BUS to the EHPV. The different parameter values for the PID controller due to the gravity effect of the bucket were determined using a manual PID tuning method while assuming that the tractor travels on either an ascending slope or a descending slope. The developed PID control-based self-leveling system showed a mean of steady-state errors of within $1^{\circ}$ and a mean of delayed times of ~ 0.8s when the step input of $+20^{\circ}$ was given, implying that the developed system and control algorithm would be effective in maintaining the bucket angle at a certain value. Future studies include the improvement of the control algorithm to reduce such a time delay as well as the application of the developed algorithm to the FEL mounted on a tractor tested at a testing ground.

추적이 가능한 쿼드로터 호버링 시스템 구현 (Implementation of Quad-rotor Hovering Systems with Tracking)

  • 정원호;정재필
    • 한국항행학회논문지
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    • 제20권6호
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    • pp.574-579
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    • 2016
  • 쿼드로터는 일반 무인항공기와 달리 구조가 단순하고 그 활용 가치가 매우 높아 많은 사람들의 관심을 받고 있다. 하지만 드론에 대한 관심이 높아짐에 따라 항공 안전사고 또는 분실에 대비한 비행체의 안정성과 위치파악의 중요성이 대두되고 있다. 따라서 본 논문에서는 쿼드로터의 모델링을 수식적으로 유도하여 이를 선형화시켜 간단한 제어기로 모델을 안정화시키고 다양한 센서로부터 얻은 데이터를 필터를 거쳐 기울어진 정도를 파악하여 보다 안정한 호버링이 가능한 추적 시스템을 제안하였다. 개발된 추적시스템은 비행 중인 쿼드로터의 위치를 컴퓨터로 전송해 이를 경로로 나타내어 비행경로를 파악할 수 있고 비행속도, 고도 등의 다양한 정보를 동시에 확인할 수 있게 하였다. 그리고 실제 쿼드로터에 사용되는 센서는 외란과 진동에 의해 정확한 센서 값을 측정할 수 없기 때문에 칼만필터와 상보필터를 통한 센서 결합으로 이를 극복하여 쿼드로터 호버링의 안정성을 PID 제어를 통해 구현하였다. 이를 모의 실험을 통하여 쿼드로터의 속도, 위치, 고도 등의 다양한 정보를 실시간으로 확인하였다.