• Title/Summary/Keyword: 호버링

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Design of Water Surface Hovering Drone for Underwater Stereo Photography (수중 입체촬영을 위한 수면호버링 드론 설계)

  • Kim, Hyeong-Gyun;Kim, Yong-Ho
    • Journal of Convergence for Information Technology
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    • v.9 no.6
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    • pp.7-12
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    • 2019
  • In order to shoot underwater, the photographer must be equipped with shooting equipment and enter into the water. Since the photographer directly enters the water, safety accidents occur frequently due to various obstacles or deep water in the water. The proposed underwater stereo photography technique can solve the safety accident problem caused by the entry of the photographer into the water by using the drone for underwater photographing. In addition, this technique has the advantage of obtaining underwater images at low cost. In this study, the angle of the proposed cam for stereoscopic photography was analyzed and the condition that the proper stereoscopic image can be viewed was defined as the distance from the floor of 18cm to the floor distance of 41.4cm. This provision is proposed to be used to adjust the height of the shooting area descended by the elevation chain of the water surface hovering drones.

Hovering System for Autonomous Flight of Multi-copter (멀티콥터의 자율비행을 위한 호버링 시스템)

  • Kim, Hyung-Su;Park, Byeong-Ho;Han, Young-Hwan
    • The Journal of Korean Institute of Information Technology
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    • v.16 no.12
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    • pp.49-56
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    • 2018
  • As the era of the 4th industrial revolution comes, there is a growing interest in the use of UAVs. While various technologies are being developed using drones, controlling flight of drones is the most basic. Hovering control is essential in order to enable autonomous flight, especially during flight control of drones. In this paper, we design drones based on ATmega2560, Sonar, Optical Flow, and acceleration / gyro 6 axis sensor for drones hovering control, and developed horizontal control, altitude control, position tracking and fixed algorithm based on PID control. In this research, in order to measure the objective result of the drone, keeping the altitude immediately after the drone takes off according to the time, measure the movement value until the position is fixed and stable hovering is maintained and compared analyzed. Experimental results show that the drones can stably hover within 4cm horizontal and 2cm vertical from 50cm above the reference coordinates.

Development of Hovering AUV 'NOAH' Test-bed for Underwater Explorations (수중탐사용 호버링 무인잠수정 NOAH의 테스트베드 개발)

  • Byun, Seung-Woo;Kim, Joon-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.2
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    • pp.414-419
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    • 2010
  • This paper describes the design and performance of a hovering AUV 'NOAH' constructed at Jeju National University. We analyse the dynamic performance of NOAH using simulation program and carry out depth control test at small basin. The main purpose of NOAH is to carry out fundamental tests on its attitude control and position control. Its configuration is similar to general ROV appearance for underwater works and dimension is $0.75m{\times}0.5m{\times}0.5m$. It has 4 thrusters of 450watt for longitudinal/lateral/vertical propulsion and is equipped with a pressure sensor for measuring water depth and a magnetic compass for measuring heading angle. The navigation of the vehicle is controlled by an on-board Pentium III-class computer, which runs with the help of the Windows XP operating system. These give us an ideal environment for developing various algorithm which are needed for developing and advanced hovering AUV.

Physically-Based Simulation of Chinese Top (물리 기반 차이니즈탑 시뮬레이션)

  • 송병수;김은주;유관우
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04a
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    • pp.907-909
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    • 2004
  • 에어포일(airfoil)이 공기속을 지날 때 양력이 발생한다. 공간상을 비행하는 물체에는 중력, 추력, 양력, 항력의 네 가지 힘이 작용한다. 본 논문에서는 항공역학의 연구결과를 바탕으로 차이니즈탑이란 물체가 회전하면서 수직상승과 호버링 그리고 하강하는 동안의 운동형태를 사실적이면서도 실시간으로 구현한다. 그 결과는 게임이나 비행 시뮬레이션에 응용할 수 있다.

Development of a Hover-capable AUV System for In-water Visual Inspection via Image Mosaicking (영상 모자이킹을 통한 수중 검사를 위한 호버링 타입 AUV 시스템 개발)

  • Hong, Seonghun;Park, Jeonghong;Kim, Taeyun;Yoon, Sukmin;Kim, Jinwhan
    • Journal of Ocean Engineering and Technology
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    • v.30 no.3
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    • pp.194-200
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    • 2016
  • Recently, UUVs (unmanned underwater vehicles) have increasingly been applied in various science and engineering applications. In-water inspection, which used to be performed by human divers, is a potential application for UUVs. In particular, the operational safety and performance of in-water inspection missions can be greatly improved by using an underwater robotic vehicle. The capabilities of hovering maneuvers and automatic image mosaicking are essential for autonomous underwater visual inspection. This paper presents the development of a hover-capable autonomous underwater vehicle system for autonomous in-water inspection, which includes both a hardware platform and operational software algorithms. Some results from an experiment in a model basin are presented to demonstrate the feasibility of the developed system and algorithms.

Implementation of Hovering AUV and Its Attitude Control Using PID Controller (PID 제어기를 이용한 호버링 AUV의 구현과 자세 제어)

  • Kim, Min-Ji;Baek, Woon-Kyung;Ha, Kyoung-Nam;Joo, Moon-Gab
    • Journal of Ocean Engineering and Technology
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    • v.30 no.3
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    • pp.221-226
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    • 2016
  • An attitude controller for a 6-DOF hovering autonomous underwater vehicle (HAUV) is implemented. We add a vertical thruster, an underwater camera, a wireless communication device, and a DVL to the HAUV that was developed a year ago. The HAUV is composed of 5 thrusters, 2 servo-motors, and 4 apparatus parts. Two rotating thrusters control the surge, heave, and roll of the vehicle. The vertical thruster controls the pitch, and two horizontal thrusters control the sway and yaw of the vehicle. The HAUV’s movement in each direction is controlled by 6 PID controllers. Each PID controller controls the propulsive force and angle of a thruster. In a horizontal and vertical movement experiment, we showed the feasibility of the proposed controller by maintaining a given depth and heading angle of the HAUV.

Drone Hovering using PID Control (PID 제어를 이용한 드론의 호버링)

  • Oh, Ji-Wan;Seol, Jae-Won;Gong, Youn-Hee;Han, Seung-Jae;Lee, Seung-Dae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.6
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    • pp.1269-1274
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    • 2018
  • In this paper, it covers technical aspect of drone by introducing the drone hovering. Arduino Uno and 3-axis attitude and azimuth sensor are the two main components of the drone. Arduino Uno is used as a main controller and 3-axis attitude and azimuth sensor are used to collect axial (X,Y,Z) data, which is massaged to determine the pitch (fore and aft tilt) and the bank (side to side tilt). Furthermore, drone stabilizes horizontal attitude by correcting these tilted angle through PID control.

Development of hovering-type AUV test-bed 'OCTAGON' (호버링 타입 자율무인잠수정 'OCTAGON'의 테스트베드 개발)

  • Choi, Dong-Ho;Lee, Young-Jin;Hong, Sung-Min;Kim, Joon-Young
    • Journal of Advanced Marine Engineering and Technology
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    • v.40 no.6
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    • pp.516-526
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    • 2016
  • This paper introduces a hovering-type autonomous underwater vehicle (AUV) developed for research and its fundamental motion performance results obtained by simulation and field test. The AUV can control its motion in four degrees of freedom (DOF) by means of its horizontal and vertical thrusters, and it is designed to provide a test-bed that facilitates ease of operation and experimentation. Prior to the field tests, six DOF equations of motion are developed, and a simulation program is constructed using MATLAB and Simulink to verify the essential motion performance of the designed vehicle. Furthermore, a proportional-integral-derivative (PID) controller and fuzzy PID controller are designed, and their performances are verified through a simulation. Field tests are performed to verify the motion performance of the AUV; way-point tracking is executed by the PID and fuzzy PID controllers. The results confirmed appropriate control performance under current disturbances.

Quadcopter Hovering Control Using Deep Learning (딥러닝을 이용한 쿼드콥터의 호버링 제어)

  • Choi, Sung-Yug
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.2_2
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    • pp.263-270
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    • 2020
  • In this paper, In this paper, we describe the UAV system using image processing for autonomous quadcopters, where they can apply logistics, rescue work etc. we propose high-speed hovering height and posture control method based on state feedback control with CNN from camera because we can get image of the information only every 30ms. Finally, we show the advantages of proposed method by simulations and experiments.