• Title/Summary/Keyword: 비행환경 감지

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Development of ESAD with Flight Environment Sensing Function and Sled Test Method for Function Verification (비행환경 감지 기능을 보유한 ESAD 개발 및 기능 확인을 위한 슬레드 시험 방안)

  • Hanseong Jo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.26 no.3
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    • pp.273-280
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    • 2023
  • Recently electronic safety and arming device(ESAD) has attracted increasing attention due to its design flexibility. However, ESAD can be armed unintentionally due to a malfunction of an external device or interface. Thus ESAD needs an internally generated arming signal independent from the external device. In this paper, a new sensor-hybrid ESAD(SHESAD) with a flight environment sensing function for generating arming signal internally is proposed and a sled test based method is also suggested for evaluating its functions. Through the test results, the operability of the flight environment sensing function was confirmed. Also, it is shown that the proposed test method is suitable for verification of ESAD with the flight environment sensing function.

대규모 유도조종 시스템

  • 박양배
    • 전기의세계
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    • v.33 no.3
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    • pp.163-172
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    • 1984
  • 비행체가 한 지점에서 다른 지점으로 이동하기 위하여는 적절한 유도 조종장치가 필요하게 된다. 좀 더 넓은 의미에서 생각하며, 일반적으로 이러한 system은 비행체의 동적 현상, 즉 가속도, 속도, 위치 및 각속도 등을 측정하는 다양한 감지기들과 신호처리장치, 그리고 힘과 moment를 발생시키는 구동장치로 이루어진다. 또 유도조종 system의 설계과정에서는 비행환경에 따라 신호(상태변수)의 양이 많고, 각 subsystem들은 상당히 고차에다 비선형적이다. 따라서 유도조종 system은 하나의 대규모 system으로 생각될 수 있다. 본문의 구성은, 2장에서 주로 비행체의 공력학적인 면을 다루고, 3장은 유도장치로서 각 유도방식에 따른 간략한 설명과 장단점을 비교하였다. 4장은 조종장치로서 조종방식과 비행체제에 필요한 계기 및 구동장치에 관하여 설명하였고, 5장은 설계 및 방법과 시험에 관하여 논하였으며, 끝으로 6장에서는 간략한 결론을 내렸다.

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Implementation of an Autonomous drone charging station using streetlights (가로등을 활용한 자율 드론 충전 스테이션의 구현)

  • Myeong-Chul Park;Gyung-Hwan Kim;Ji-Hyeong Lee;Seung-Jae Hong;Chang-Hyeon Baek;Jin-Hyeun Seok;Min-kyeong kim;Dong-Bin Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.269-270
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    • 2024
  • 최근 드론 산업의 규모가 커지면서 드론을 다양한 분야에 활용하려는 노력이 커지고 있다. 대규모 환경 모니터링, 재난 관리 등에 사용되기 위해서는 장시간 연속 비행이 필요하지만 드론의 배터리 용량 문제로 인해 사람이 직접 배터리를 교체해 주지 않으면 장시간 비행이 어렵다. 본 논문은 드론이 배터리 충전을 위해 자율적으로 착륙해 충전 후 이륙하는 가로등을 활용한 자율 충전 스테이션'을 제안한다. 단순한 무선 충전이 아닌 드론이 자율 비행을 통해 스테이션에 착륙하고 스테이션의 초음파 센서를 통해 착륙이 감지되면 스테이션의 송신부에서 전력을 공급해 드론의 무선 충전이 가능하다. 또한 스테이션의 구조를 원뿔형으로 만들어 드론이 스테이션의 중앙에 정확히 안착되도록 하였다. 자율 드론 충전 스테이션을 통해 배터리 용량 문제를 새로운 방식으로 해결할 수 있고, 업무에 필요한 인력을 최소화함으로서 드론 관제, 환경 모니터링 등 드론을 활용하는 다양한 분야에 도움을 줄 수 있을 것이다.

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Development of Real-Time Vision Aided Navigation Using EO/IR Image Information of Tactical Unmanned Aerial System in GPS Denied Environment (GPS 취약 환경에서 전술급 무인항공기의 주/야간 영상정보를 기반으로 한 실시간 비행체 위치 보정 시스템 개발)

  • Choi, SeungKie;Cho, ShinJe;Kang, SeungMo;Lee, KilTae;Lee, WonKeun;Jeong, GilSun
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.48 no.6
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    • pp.401-410
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    • 2020
  • In this study, a real-time Tactical UAS position compensation system based on image information developed to compensate for the weakness of location navigation information during GPS signal interference and jamming / spoofing attack is described. The Tactical UAS (KUS-FT) is capable of automatic flight by switching the mode from GPS/INS integrated navigation to DR/AHRS when GPS signal is lost. However, in the case of location navigation, errors accumulate over time due to dead reckoning (DR) using airspeed and azimuth which causes problems such as UAS positioning and data link antenna tracking. To minimize the accumulation of position error, based on the target data of specific region through image sensor, we developed a system that calculates the position using the UAS attitude, EO/IR (Electric Optic/Infra-Red) azimuth and elevation and numerical map data and corrects the calculated position in real-time. In addition, function and performance of the image information based real-time UAS position compensation system has been verified by ground test using GPS simulator and flight test in DR mode.

Echolocation Signals of Pipistrellus abramus in Relation to Environmental Type (환경특성에 따른 집박쥐의 반향정위(Echolocation) 시그널 분석)

  • Chung, Chul-Un;Han, Sang-Hoon;Kim, Sung-Chul;Lee, Chong-Il
    • Korean Journal of Environment and Ecology
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    • v.23 no.6
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    • pp.553-563
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    • 2009
  • This study was conducted to analyze the changes in the echolocation of Pipistrellus abramus according to environmental characteristics. The survey was conducted in the day-roosting site of P. abramus located in Gyeongju City (North Gyeongsang Province) from April to August, 2009. The environmental characteristics during the research were classified in six categories: the emergence time after sunset moving time from day roost to feeding areas; rice fields; forest edges; open spaces; and residential areas. Analysis results showed that there are differences in environmental characteristics and also differences between the moving time to the habitat and the moving time to capture preys. At the emergence time from day roost, Pipistrellus abramus used a FM signal with a short pulse-duration. In open spaces, however, they used a CF signal with a long pulse-duration. In different environmental situations, they used both FM and CF signals, although the types of pulse which they used were different. Except pulse-duration, there were significant differences in pulse-interval, peak-frequency, starting-frequency and ending-frequency between the movement among habitats and the movement to capture preys. Except the emergence time from day-roost, they showed a narrow band FM signal and a long pulse-duration that are suitable to search for insects by sensing echoes of insects when they moved among their habitats. When they were out to capture their preys, they showed a broad band FM signal and a short pulse-duration which enabled them to widely search and accurately locate their preys.

고장 대응 훈련을 위한 시뮬레이터 고장 발생 메커니즘 소개

  • Lee, Hun-Hui;Gu, Cheol-Hoe;Ju, Gwang-Hyeok
    • The Bulletin of The Korean Astronomical Society
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    • v.37 no.2
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    • pp.194.1-194.1
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    • 2012
  • 우주비행체의 내부 장치 고장 혹은 외부 환경에 의한 고장이 발생할 경우를 대비하여 가상 모의 시뮬레이터를 이용한 고장 대응 훈련이 요구된다. 시뮬레이터 개발 초기에 이러한 고장 발생 메커니즘을 설계에 반영하지 않는 경우 교관이 작성한 고장 시나리오에 의한 유기적 고장 발생 및 고장 전파 기능을 납품 후 추가 요구하기는 용이하지 않다. 본 논문에서는 사용자가 시뮬레이터를 이용하여 의도하는 고장을 의미있는 시각(Epoch)에 주입하기 위한 고장 발생 메커니즘 구조를 설명한다. 또한 천리안위성 시뮬레이터 소프트웨어의 고장 발생 예제를 통해 고장 감지, 고장 복구, 관제원의 대응 방법 등을 설명한다.

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Remote Fault Detection in Conveyor System Using Drone Based on Audio FFT Analysis (드론을 활용하고 음성 FFT분석에 기반을 둔 컨베이어 시스템의 원격 고장 검출)

  • Yeom, Dong-Joo;Lee, Bo-Hee
    • Journal of Convergence for Information Technology
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    • v.9 no.10
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    • pp.101-107
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    • 2019
  • This paper proposes a method for detecting faults in conveyor systems used for transportation of raw materials needed in the thermal power plant and cement industries. A small drone was designed in consideration of the difficulty in accessing the industrial site and the need to use it in wide industrial site. In order to apply the system to the embedded microprocessor, hardware and algorithms considering limited memory and execution time have been proposed. At this time, the failure determination method measures the peak frequency through the measurement, detects the continuity of the high frequency, and performs the failure diagnosis with the high frequency components of noise. The proposed system consists of experimental environment based on the data obtained from the actual thermal power plant, and it is confirmed that the proposed system is useful by conducting virtual environment experiments with the drone designed system. In the future, further research is needed to improve the drone's flight stability and to improve discrimination performance by using more intelligent methods of fault frequency.

Miniaturized Ground-Detection Sensor using a Geomagnetic Sensor for an Air-burst Munition Fuze (공중폭발탄용 신관에 적용 가능한 초소형 지자기 지면감지 센서)

  • LEE, HanJin
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.5
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    • pp.97-105
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    • 2017
  • An air-burst munition is limited in space, so there is a limit on the size of the fuze and the amount of ammunition. In order to increase a firepower to a target with limited ammunition, it is necessary to concentrate the firepower on the ground instead of the omnidirectional explosion after flying to the target. This paper explores the design and verification of a ground-detection sensor that detects the direction of the ground and determines the flight-distance of an air-burst munition using a single axis geomagnetic sensor. Prior to the design of the ground detection sensor, a geomagnetic sensor model mounted on the spinning air-burst munition is analyzed and a ground-detection algorithm by simplifying this model is designed. A high speed rotating device to simulate a rotation environment is designed and a geomagnetic sensor and a remote-recording system are fabricated to obtain geomagnetic data. The ground detection algorithm is verified by post-processing the acquired geomagnetic data. Taking miniaturization and low-power into consideration, the ground detection sensor is implemented with analog devices and the processor. The output signal of the ground detection sensor rotating at an arbitrary rotation speed of 200 Hz is connected to the LED (Light Emitting Diode) in the high speed rotating device and the ground detection sensor is verified using a high-speed camera.

Optical Flow-Based Marker Tracking Algorithm for Collaboration Between Drone and Ground Vehicle (드론과 지상로봇 간의 협업을 위한 광학흐름 기반 마커 추적방법)

  • Beck, Jong-Hwan;Kim, Sang-Hoon
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.3
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    • pp.107-112
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    • 2018
  • In this paper, optical flow based keypoint detection and tracking technique is proposed for the collaboration between flying drone with vision system and ground robots. There are many challenging problems in target detection research using moving vision system, so we combined the improved FAST algorithm and Lucas-Kanade method for adopting the better techniques in each feature detection and optical flow motion tracking, which results in 40% higher in processing speed than previous works. Also, proposed image binarization method which is appropriate for the given marker helped to improve the marker detection accuracy. We also studied how to optimize the embedded system which is operating complex computations for intelligent functions in a very limited resources while maintaining the drone's present weight and moving speed. In a future works, we are aiming to develop collaborating smarter robots by using the techniques of learning and recognizing targets even in a complex background.

Object Detection Capabilities and Performance Evaluation of 3D LiDAR Systems in Urban Air Mobility Environments (UAM 환경에서 3D LiDAR 시스템을 통한 객체 검출 기능 및 성능 평가)

  • Bon-soo Koo;In-ho choi;Jaewook Hwang
    • Journal of Advanced Navigation Technology
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    • v.28 no.3
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    • pp.300-308
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    • 2024
  • Urban air mobility (UAM) is emerging as a revolutionary transportation solution to urban congestion and environmental issues. Especially, electric vertical take-off and landing (eVTOL) aircraft are expected to enhance urban mobility, reduce traffic congestion, and decrease environmental pollution. However, the successful implementation and operation of UAM systems heavily rely on advanced technological infrastructure, particularly in sensor technology. Among these, 3D light detection and ranging (LiDAR) systems are essential for detecting obstacles and generating pathways in complex urban environments. This paper focuses on the challenges of developing LiDAR-based perception solutions, emphasizing the importance and performance of object detection capabilities using 3D LiDAR. It integrates LiDAR data processing algorithms and object detection methodologies to experimentally validate the effectiveness of perception solutions that contribute to the safe navigation of aircraft. This research significantly enhances the ability of aircraft to recognize and avoid obstacles effectively within urban settings.