• Title/Summary/Keyword: 무인항공기 결함

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3.7-V Single Battery-Cell High-Efficiency Power Management Circuit and System for UAV-Drones (무인항공기를 위한 3.7V 단일 배터리 셀 고효율 전력관리 회로시스템)

  • Kang, Woonsung;Hwang, Sunnam;Chang, Ho Jung;Kim, Hyun-Sik
    • Journal of the Microelectronics and Packaging Society
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    • v.24 no.3
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    • pp.63-69
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    • 2017
  • This paper presents a highly efficient power management system for UAV-drones. For free from the battery cell-balancing issue, the proposed system allows the drone to utilize a single-cell Li-Po battery. To realize low-voltage input of 3.7V, the switch-mode step-up DC-DC converter is optimally designed with high power efficiency. The prototype DC-DC converter was implemented with an output voltage of 5V, which will be provided to digital parts of the drone. The power efficiency was measured to be max. 91.3% with low surface temperature. The measured line and load regulations were 0.02V/V and 0.15V/A, respectively. Thanks to the proposed power management system, the available time-to-fly of the drone is expected to be significantly extended in virtue of the enhanced power efficiency.

A Study of Three Dimensional DSM Development using Self-Developed Drone (드론을 활용한 3차원 DSM추출을 위한 연구)

  • Lee, Byung-Gul
    • Journal of the Korean earth science society
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    • v.39 no.1
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    • pp.46-52
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    • 2018
  • This paper is to study the development of three dimensional Digital Surface Model (DSM) using photogrammetry technique based on self-developed Drone (Unmanned Aerial Vehicle (UAV)). To develop DSM, we selected a study area in Jeju island and took 24 pictures from the drone. The three dimensional coordinates of the photos were made by Differential Global Positioning System (DGPS) surveying with 10 ground control points (GCP). From the calculated three dimensional coordinates, we produced orthographic image and DSM. The accuracy of DSM was calculated using three GCPs. The average accuracy of X and Y was from 8.8 to 14.7 cm, and the accuracy of Z was 0.8 to 12.4 cm. The accuracy was less than the reference accuracy of 1/1,000 digital map provided by National Geographic Information Institute (NGII). From the results, we found that the self-developed drone and the photogrammetry technique are a useful tool to make DSM and digital map of Jeju.

Electric Power Line Dips Measurement Using Drone-based Photogrammetric Techniques (드론 기반 사진측량기법을 활용한 고압 송전선의 처짐량 측정)

  • Kim, Yu Jong;Oh, Jae Hong;Lee, Chang No
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.35 no.6
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    • pp.453-460
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    • 2017
  • High voltage power transmission lines have been to keep the proper dip for maintenance. Powerline dips at a random point are conventionally measured by the direct or indirect observation but it is not only unsafe but labor-intensive. Therefore in this study we applied the photogrammetric technique to remotely measure the powerline dips. Since it is not easy to extract conjugate points from linear powerlines, we exploited the epipolar lines acrossing the powerlines for 3D mapping of the powerlines and dip measurements. The vertical mapping accuracy estimated at two field-surveyed power line points was 15~16cm that are within 5% of deflection at the points and less than 3% of the powerline dip.

Performance Enhancement of Attitude Estimation using Adaptive Fuzzy-Kalman Filter (적응형 퍼지-칼만 필터를 이용한 자세추정 성능향상)

  • Kim, Su-Dae;Baek, Gyeong-Dong;Kim, Tae-Rim;Kim, Sung-Shin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.12
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    • pp.2511-2520
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    • 2011
  • This paper describes the parameter adjustment method of fuzzy membership function to improve the performance of multi-sensor fusion system using adaptive fuzzy-Kalman filter and cross-validation. The adaptive fuzzy-Kanlman filter has two input parameters, variation of accelerometer measurements and residual error of Kalman filter. The filter estimates system noise R and measurement noise Q, then changes the Kalman gain. To evaluate proposed adaptive fuzzy-Kalman filter, we make the two-axis AHRS(Attitude Heading Reference System) using fusion of an accelerometer and a gyro sensor. Then we verified its performance by comparing to NAV420CA-100 to be used in various fields of airborne, marine and land applications.

A Development and Verification Process of Auto Generated Code for Fly-By-Wire Helicopter Control Law (Fly-By-Wire 헬리콥터 비행제어법칙 자동생성코드 개발 및 검증 프로세스)

  • Ahn, Seong-Jun;Kim, Chong-Sup;Cho, In-Je;Heo, Jin-Goo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.41 no.6
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    • pp.488-494
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    • 2013
  • The control law design and analysis environment of the FBW helicopter system have been developed using model base design method. The model based design is generally used in a aircraft, unmanned aerial system and automobile as well as rotorcraft development. The model based design provides many advantages such as development risk and schedule reduction using simulation and autocode generation. This paper describes a development of process for verification and validation of auto generated code for FBW helicopter flight control law. And this process is applied for Fly-By-Wire Helicopter Development Project. The results of functional test for auto generated code meet several specific requirements.

Practical Civil UAV Engine Control using High-gain Observer (고이득 관측기를 이용한 실용형 민수 무인항공기 엔진 제어)

  • Jung, Byeong-In;Ahn, Dong-Man;Hong, Gyo-Young;Hong, Seung-Beom;Min-Seok, Jie
    • Journal of Advanced Navigation Technology
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    • v.15 no.6
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    • pp.1187-1193
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    • 2011
  • In this paper, proposed controller preventing compressor surge and reducing the acceleration time of the fuel flow control system for turbo-jet engine. Turbo-jet engine controller is designed by applying fuzzy PID control algorithm and high-gain observer. Observer is used to estimate to compressor rotation speed of turbo-jet engine. Result of fuzzy inference is used as the fuel flow control inputs for preventing compressor surge and flame-out in turbo-jet engine. The controller is designed to converge to the desired speed quickly and safely. Using MATLAB to perform computer simulations verified the performance of the proposed controller.

Probability-Based Target Search Method by Collaboration of Drones with Different Altitudes (고도를 달리하는 드론들의 협력에 의한 확률기반 목표물 탐색 방법)

  • Ha, Il-Kyu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.12
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    • pp.2371-2379
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    • 2017
  • For the drone that is active in a wide search area, the time to grasp the target in the field of applications such as searching for emergency patients, monitoring of natural disasters requiring prompt warning and response, that is, the speediness of target detection is very important. In the actual operation of drone, the time for target detection is highly related to collaboration between drones and search algorithm to efficiently search the navigation area. In this research, we will provide a search method with cooperation of drone based on target existence probability to solve the problem of quickness in drone target search. In particular, the proposed method increases the probability of finding a target and shorten the search time by transmitting high-altitude drone search results to a low-altitude drone after searching first and performing more precise search. We verify the performance of the proposed method through several simulations.

Attitudes Estimation for the Vision-based UAV using Optical Flow (광류를 이용한 영상기반 무인항공기의 자세 추정)

  • Jo, Seon-Yeong;Kim, Jong-Hun;Kim, Jung-Ho;Cho, Kyeum-Rae;Lee, Dae-Woo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.38 no.4
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    • pp.342-351
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    • 2010
  • UAV (Unmanned Aerial Vehicle) have an INS(Inertial Navigation System) equipment and also have an electro-optical Equipment for mission. This paper proposes the vision based attitude estimation algorithm using Kalman Filter and Optical flow for UAV. Optical flow is acquired from the movie of camera which is equipped on UAV and UAV's attitude is measured from optical flow. In this paper, Kalman Filter has been used for the settlement of the low reliability and estimation of UAV's attitude. Algorithm verification was performed through experiments. The experiment has been used rate table and real flight video. Then, this paper shows the verification result of UAV's attitude estimation algorithm. When the rate table was tested, the error was in 2 degree and the tendency was similar with AHRS measurement states. However, on the experiment of real flight movie, maximum yaw error was 21 degree and Maximum pitch error was 7.8 degree.

Conceptual Design and Development Test of an Unmanned Scaled-down Quad Tilt Prop PAV (쿼드 틸트 프롭형 PAV 무인 축소모델 개념설계 및 개발시험)

  • Byun, Young-Seop;Song, Jun-Beom;Kim, Jae-Nam;Jeong, Jin-Suk;Song, Woo-Jin;Kang, Beom-Soo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.42 no.1
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    • pp.37-46
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    • 2014
  • This paper describes the conceptual design and development test procedure of a unmanned scaled-down personal air vehicle(PAV) with drive and flight dual mode capability. Trade studies on operational requirements led to the suggestion of a quad tilt prop platform which has nacelle tilt capability with multi rotor configuration. Motors for propeller propulsion and driving mechanism were integrated into a single nacelle, then they were implemented by nacelle tilt mechanism for conversion between the drive and the flight modes. Primary design parameters and initial specifications were confirmed through conceptual design, then functional tests were performed with the test platforms for the drive and the flight modes.

A Study on Flight Stabilization of Drones by Gyro Sensor and PID Control (자이로 센서와 PID 제어를 이용한 드론 비행 안정화에 관한 연구)

  • Yoon, Dan-Bee;Lee, Kyu-Yeul;Han, Sang-Gi;Kim, Yong-Hun;Lee, Seung-Dae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.4
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    • pp.591-598
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    • 2017
  • The changes of technology and the size of markets for unmaned aerial vehicle are getting bigger presently. Damage happens because of user's poor operation since accesses to the drones are easy. To minimize the damage, drone's stabilized flight skills are required, and controlling the motor to balanced speed is also needed. Thus, the essay shows that we use Arduino as a main control device for controlling a drone, and used acceleration sensor and gyro sensor for the drone stabilization. Also, we made it able to hover at a certain height by using a sonar sensor. We also controlled a drone by using an Android application, and made the drone hover stably at 0~2 meters.