• Title/Summary/Keyword: Flying Trajectories

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Collision Avoidance Algorithm for Satellite Formation Reconfiguration under the Linearized Central Gravitational Fields

  • Hwang, InYoung;Park, Sang-Young;Park, Chandeok
    • Journal of Astronomy and Space Sciences
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    • v.30 no.1
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    • pp.11-15
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    • 2013
  • A collision-free formation reconfiguration trajectory subject to the linearized Hill's dynamics of relative motion is analytically developed by extending an algorithm for gravity-free space. Based on the initial solution without collision avoidance constraints, the final solution to minimize the designated performance index and avoid collision is found, based on a gradient method. Simple simulations confirm that satellites reconfigure their positions along the safe trajectories, while trying to spend minimum energies. The algorithm is applicable to wide range of formation flying under the Hill's dynamics.

Development of a Preliminary Formation-Flying Testbed for Satellite Relative Navigation and Control

  • Park, Jae-Ik;Park, Han-Earl;Shim, Sun-Hwa;Park, Sang-Young;Choi, Kyu-Hong
    • Bulletin of the Korean Space Science Society
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    • 2008.10a
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    • pp.26.3-26.3
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    • 2008
  • This research develops a GPS-based formation-flying testbed (FFTB) for formation navigation and control. The FFTB is a simulator in which spacecraft simulation and modeling software and loop test capabilities are integrated for test and evaluation of spacecraft navigation and formation control technologies. The FFTB is composed of a GPS measurement simulation computer, flight computer, environmental computer for providing true environment data and 3D visualization computer. The testbed can be simulated with one to two spacecraft, thus enabling a variety of navigation and control algorithms to be evaluated. In a formation flying simulation, GPS measurement are generated by a GPS measurement simulator to produce pseudorange, carrier phase measurements, which are collected and exchanged by the flight processors and subsequently processed in a navigation filter to generate relative and/or absolute state estimates. These state estimates are the fed into control algorithm, which are used to generate maneuvers required to maintain the formation. In this manner, the flight processor also serves as a test platform for candidate formation control algorithm. Such maneuvers are fed back through the controller and applied to the modeled truth trajectories to close simulation loop. Currently, The FFTB has a closed-loop capability of simulating a satellite navigation solution using software based GPS measurement, we move forward to improve using SPIRENT GPS RF signal simulator and space-based GPS receiver

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Adaptive CFAR implementation of UWB radar for collision avoidance in swarm drones of time-varying velocities (군집 비행 드론의 충돌 방지를 위한 UWB 레이다의 속도 감응형 CFAR 최적화 연구)

  • Lee, Sae-Mi;Moon, Min-Jeong;Chun, Hyung-Il;Lee, Woo-Kyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.3
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    • pp.456-463
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    • 2021
  • In this paper, Ultra Wide-Band(UWB) radar sensor is employed to detect flying drones and avoid collision in dense clutter environments. UWB signal is preferred when high resolution range measurement is required for moving targets. However, the time varying motion of flying drones may increase clutter noises in return signals and deteriorates the target detection performance, which lead to the performance degradation of anti-collision radars. We adopt a dynamic clutter suppression algorithm to estimate the time-varying distances to the moving drones with enhanced accuracy. A modified Constant False Alarm Rate(CFAR) is developed using an adaptive filter algorithm to suppress clutter while the false detection performance is well maintained. For this purpose, a velocity dependent CFAR algorithm is implemented to eliminate the clutter noise against dynamic target motions. Experiments are performed against flying drones having arbitrary trajectories to verify the performance improvement.

Optimal Surveillance Trajectory Planning for Illegal UAV Detection for Group UAV using Particle Swarm Optimization (불법드론 탐지를 위한 PSO 기반 군집드론 최적화 정찰궤적계획)

  • Lim, WonHo;Jeong, HyoungChan;Hu, Teng;Alamgir, Alamgir;Chang, KyungHi
    • Journal of Advanced Navigation Technology
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    • v.24 no.5
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    • pp.382-392
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    • 2020
  • The use of unmanned aerial vehicle (UAV) have been regarded as a promising technique in both military and civilian applications. Nevertheless, due to the lack of relevant and regulations and laws, the misuse of illegal drones poses a serious threat to social security. In this paper, aiming at deriving the three-dimension optimal surveillance trajectories for group monitoring drones, we develop a group trajectory planner based on the particle swarm optimization and updating mechanism. Together, to evaluate the trajectories generated by proposed trajectory planner, we propose a group-objectives fitness function in accordance with energy consumption, flight risk. The simulation results validate that the group trajectories generated by proposed trajectory planner can preferentially visit important areas while obtaining low energy consumption and minimum flying risk value in various practical situations.

Experimental Approach to Hopping Pattern Generation for One-legged Robot (한다리 로봇의 뜀뛰기 패턴 생성에 관한 실험적 접근)

  • Cho, Baek-Kyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.9
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    • pp.837-844
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    • 2012
  • We introduce a pattern generation method for a hopping one-legged robot and verify it experimentally. The pattern is derived from the liner and angular momentum of a COM (Center of Mass), which are pre-scheduled. Because of the relation between angular velocities of joints and momemtums of the COM, joint angle trajectories are easily obtained. In addition, the landing impact force is reduced by only adjusting the landing timing. In the experiment, the one-legged robot hops in place with 0.06 s of flying time, and makes continuous hopping. Based on our experimental results, the proposed method can be applied to hopping and running of biped humanoid robots.

Evaluation of The Dispersion Uniformity of Footprint of The Magnus Rotor Type Dispersive Submunition (Magnus Rotor형 분산자탄 탄착군의 분산 균일도 평가)

  • Hyeongyu Sakong
    • Journal of the Korea Institute of Military Science and Technology
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    • v.27 no.2
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    • pp.230-237
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    • 2024
  • Dispersion munitions are often equipped with dispersive submunitions used to scatter bombs over a wide area, and one of the types of dispersive submunitions is the Magnus rotor, commonly referred to as a self-rotating flying body. The Magnus rotor is designed to be dispered over a wide area by utilizing the principle of the Magnus effect through self-rotation, and has various trajectories depending on the initial conditions from the mother dispersion munition. In this paper, an index to evaluate the dispersion uniformity of footprint of the dispersive submunition is presented and the dispersion uniformity according to various initial release conditions is evaluated, and it is getting larger with high incidence angle and get max value at certain initial angular velocity.

Statistical Estimation of Motion Trajectories of Falling Petals Based on Particle Filtering (Particle Filtering에 근거한 낙하하는 꽃잎의 운동궤적의 통계적 추정)

  • Lee, Jae Woo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.40 no.7
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    • pp.629-635
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    • 2016
  • This paper presents a method for predicting and tracking the irregular motion of bio-systems, - such as petals of flowers, butterflies or seeds of dandelion - based on the particle filtering theory. In bio-inspired system design, the ability to predict the dynamic motion of particles through adequate, experimentally verified models is important. The modeling of petal particle systems falling in air was carried out using the Bayesian probability rule. The experimental results show that the suggested method has good predictive power in the case of random disturbances induced by the turbulence of air.

A Position Estimation of Quadcopter Using EKF-SLAM (EKF-SLAM을 이용한 쿼드콥터의 위치 추정)

  • Cho, Youngwan;Hwang, Jaeyoung;Lee, Heejin
    • Journal of IKEEE
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    • v.19 no.4
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    • pp.557-565
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    • 2015
  • In this paper, a method for estimating the location of a quadcopter is proposed by applying an EKF-SLAM algorithm to its flight control, to autonomously control the flight of an unmanned quadcopter. The usefulness of this method is validated through simulations. For autonomously flying the unmanned quadcopter, an algorithm is required to estimate its accurate location, and various approaches exist for this. Among them, SLAM, which has seldom been applied to the quadcopter flight control, was applied in this study to simulate a system that estimates flight trajectories of the quadcopter.

Computation of Wake Vortex Behavior Behind Airplanes in Close Formation Flight Using a Fourier-Spectral Method (푸리에-스펙트럴 법을 사용한 근접 편대비행 항공기의 와 거동 계산)

  • Ji, Seunghwan;Han, Cheolheui
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.48 no.1
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    • pp.1-11
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    • 2020
  • Behaviors of wake vortices generated by an aircraft affect the performance and flight stability of flying aircraft in formation flight. In the present study, the trajectories of the wake vortices behind airplanes in close formation flight were computed using a Fourier spectral method. The behavior of wake vortices showed complex patterns depending on the initial circulation and the relative positions between the vortices. In the initial stage, the wake vortex movement was affected by the nascent vortex. When the vortex becomes closer to the other vortex, then a new trajectory is formed. When the viscous effect becomes dominant, the core radius increases. Thus, a new vortex moving near the existing vortex can have strong interaction with each other, resulting in the complicated behavior of wake vortices. In the future, the ground effect on the behavior of the wake vortices during take-off and landing will be studied.