• Title/Summary/Keyword: hovering system

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Adaptive Backstepping Hovering Control for a Quadrotor with Unknown Parameters (미지 파라미터를 갖는 쿼드로터의 적응 백스테핑 호버링 제어)

  • Lee, Keun Uk;Park, Jin Bae;Choi, Yoon Ho
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.10
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    • pp.1002-1007
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    • 2014
  • This paper deals with the adaptive backstepping hovering control for a quadrotor with model parameter uncertainties. In this paper, the backstepping based technique is utilized to design a nonlinear adaptive controller which can compensate for the motor thrust factor and the drag coefficient of a quadrotor. First, the quadrotor nonlinear dynamics is derived using Newton-Euler formulation. In particular, we use the ${\pi}/4$ shifted coordinate for x- and y-axis of a quadrotor. Second, an adaptive backstepping based attitude and altitude tracking control method is presented. The system stability and the convergence of tracking errors are proven using the Lyapunov stability theory. Finally, the simulation results are given to verify the effectiveness of the proposed control method.

Hovering Flight Control for a Model Helicopter using the Minimal-Order LQG/LTR Technique (Minimal Order LQG/LTR 기법에 의한 모형헬리콥터의 정지비행 자세제어)

  • Yang, J.S.;Han, K.H.;Lee, J.S.
    • Proceedings of the KIEE Conference
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    • 1998.11b
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    • pp.457-459
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    • 1998
  • This paper presents a 3-DOF hovering flight controller for a model helicopter using the minimal order LQG/LTR technique. A model helicopter is an unstable multi-input multi-output nonlinear system strongly exposed to disturbances, so a robust multi-variable control theory should be applied to control it. The minimal order LQG/LTR technique which uses a reduced-order observer in the LTR procedure is used to design the controller. Performances for the 3-DOF hovering flight controller are evaluated through computer simulations.

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Sliding mode control for helicopter attitude regulation at hovering (Hovering에서의 헬리콥터 자세제어를 위한 슬라이딩 모드 제어)

  • Im, Kyu-Mann;Ham, Woon-Chul
    • Journal of Institute of Control, Robotics and Systems
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    • v.3 no.6
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    • pp.563-568
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    • 1997
  • 본 논문에서는 약간의 가정하에 리모트 제어용 모형 헬리콥터의 동역학방정식을 유도하였으며, 이를 토대로하여 헬리콥터의 자세안정을 위한 제어 알고리듬을 제안하였다. 제어이론으로서는 파라메타의 변화및 외란에 강인한 가변구조 제어이론을 활용하였다. 본 제어 알고리듬에서는 헬리콥터의 위치이동 제어에 대하여서는 다루지를 못하였으며, 단지 헬리콥터의 hovering 상태에서의 자세 안정화에만 촛점을 두어 제어 알고리듬을 제안하였다. 컴퓨터 모사를 통하여, 제안된 제어 제어 알고리듬의 타당성을 보였으며, 약 2-3초의 시간이 경과된 이후 자세가 안정화 됨을 볼 수 있었다.

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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.

Design of a Test bed and Performance Evaluation for a Hovering Type Autonomous Underwater Vehicle under Open Control Platform (개방형 제어 플랫폼 기반 호버링형 무인잠수정 테스트베드 설계 및 성능평가)

  • Choi, Jae-Weon;Ha, Tae-Kyu;Binugroho, Eko Henfri;Yu, Chang-Ho;Seo, Young-Bong
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.5
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    • pp.489-497
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    • 2010
  • This paper presents the design of hardware platform, which is a test bed for the navigation system and hovering type AUV (Autonomous Underwater Vehicle) under the OCP (Open Control Platform). The developed AUV test bed consists of two hulls, four thrusters, and the navigation system which uses a SBC2440II with IMU (Inertial Measurement Unit). And the SMC (Sliding Mode Control) is chosen for the diving and steering control of the AUV. This paper uses ACE/TAO RTEC (Real-Time Event Channel) as a middleware platform in order to control and communicate in the developed AUV test bed. In this paper, two computers are used and each of them is dedicated for the specific purpose, the first computer is used as the SMC module and the middleware platform for the ACE/TAO RTEC and the second computer is used for the sensor controller. We analyze the performance of the AUV test bed under the OCP.

A Study on Hovering Performance of Ducted Fan System Through Ground Tests and CFD Simulations (지상 시험과 CFD 시뮬레이션을 통한 덕티드 팬 시스템의 제자리 비행 성능 연구)

  • Choi, Young Jae;Wie, Seong-Yong;Yoon, Byung Il;Kim, Do-Hyung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.49 no.5
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    • pp.399-405
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    • 2021
  • In the present study, ground tests and CFD simulations for a ducted fan system were performed to verify the hovering performance of the ducted fan system designed by KARI rotorcraft team. Six blades were composed for the ducted fan, and target rotating speed of the fan was decided to 4,000 RPM. Collective pitch angles were considered from 20 degrees to 36 degrees. The test data were obtained by increasing the rotating speed up to 4,000 RPM in 1,000 RPM increments. The CFD simulations were considered only 4,000 RPM of rotating speed. The hovering performance was represented by thrust, power, duct thrust ratio, and FM(Figure of Merit). Reliability of the performance results was ensured through the test and simulation results, and it was found that the target performance was achieved under conditions above 31 degrees of the pitch angle.

Onboard Active Vision Based Hovering Control for Quadcopter in Indoor Environments (실내 환경에서의 능동카메라 기반 쿼더콥터의 호버링 제어)

  • Jin, Tae-Seok
    • Journal of the Korean Society of Industry Convergence
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    • v.20 no.1
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    • pp.19-26
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    • 2017
  • In this paper, we describe the design and performance of UAV system toward compact and fully autonomous quadrotors, where they can complete logistics application, rescue work, inspection tour and remote sensing without external assistance systems like ground station computers, high-performance wireless communication devices or motion capture system. we propose high-speed hovering flyght height control method based on state feedback control with image information from active camera and multirate observer because we can get image of the information only every 30ms. Finally, we show the advantages of proposed method by simulations and experiments.

PID Controled UAV Monitoring System for Fire-Event Detection (PID 제어 UAV를 이용한 발화 감지 시스템의 구현)

  • Choi, Jeong-Wook;Kim, Bo-Seong;Yu, Je-Min;Choi, Ji-Hoon;Lee, Seung-Dae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.1
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    • pp.1-8
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    • 2020
  • If a dangerous situation arises in a place where out of reach from the human, UAVs can be used to determine the size and location of the situation to reduce the further damage. With this in mind, this paper sets the minimum value of the roll, pitch, and yaw using beta flight to detect the UAV's smooth hovering, integration, and derivative (PID) values to ensure that the UAV stays horizontal, minimizing errors for safe hovering, and the camera uses Open CV to install the Raspberry Pi program and then HSV (color, saturation, Brightness) using the color palette, the filter is black and white except for the red color, which is the closest to the fire we want, so that the UAV detects the image in the air in real time. Finally, it was confirmed that hovering was possible at a height of 0.5 to 5m, and red color recognition was possible at a distance of 5cm and at a distance of 5m.

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.

Identification and Control of Model Helicopter in Hovering

  • Park, Duckgee;Yang, Dong-Hoon;Park, Moon-Soo;Hong, Suk-Kyo
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.63.2-63
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    • 2002
  • ● Introduction ● System Identification ● PD Controller Design ● Verifying the Model & Simulation ● Experiment for Attitude Control ● Results ● Conculsions

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