• 제목/요약/키워드: Flight path

검색결과 251건 처리시간 0.023초

무인항공 변량방제 시스템의 살포 균일도 분석 (Uniformity Analysis of Unmanned Aerial Application with Variable Rate Spray System)

  • 구영모;배영환
    • 농업생명과학연구
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    • 제52권6호
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    • pp.111-125
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    • 2018
  • 본 연구에서는 변량방제기술을 적용한 농용 회전익기를 이용하여 살포한 입자의 구간비행 상태에서의 거리별 살포 패턴을 측정함으로써 무인 항공방제의 농약 부착률과 입자경의 분포 균일도를 평가하였다. 비행을 등속으로 유지하는 안내비행과 자동비행 모드에서 유효살포폭 3.6m로 인접비행 구간과 살포폭이 일부 중첩된 피복률에 대한 가로방향 분포의 변이계수는 30% 정도를 보였고, 비행방향 진로위치에 대한 피복률의 변이계수는 10% 미만으로 매우 균등한 것으로 평가되었다. 따라서 살포작업시 기체의 지면속도(ground speed)의 변이를 보상하는 변량살포기술은 균일도 측면에서 우수한 것으로 판명되었으며, 또한 입자경의 분포에 있어서 체적중위직경(VMD)과 개체중위직경(NMD) 모두 항공방제에 적절한 크기와 균일한 분포를 보였다. 따라서 농용 회전익기를 이용하여 소필지의 항공방제작업을 무인화 하는데 있어, 변량방제장치를 적용함으로써 소규모 필지의 균일 정밀방제를 도모하고자 하였다.

컴퓨터 비전과 GPS를 이용한 드론 자율 비행 알고리즘 (Autonomous-flight Drone Algorithm use Computer vision and GPS)

  • 김정환;김식
    • 대한임베디드공학회논문지
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    • 제11권3호
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    • pp.193-200
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    • 2016
  • This paper introduces an algorithm to middle-low price drone's autonomous navigation flight system using computer vision and GPS. Existing drone operative system mainly contains using methods such as, by inputting course of the path to the installed software of the particular drone in advance of the flight or following the signal that is transmitted from the controller. However, this paper introduces new algorithm that allows autonomous navigation flight system to locate specific place, specific shape of the place and specific space in an area that the user wishes to discover. Technology developed for military industry purpose was implemented on a lower-quality hobby drones without changing its hardware, and used this paper's algorithm to maximize the performance. Camera mounted on middle-low price drone will process the image which meets user's needs will look through and search for specific area of interest when the user inputs certain image of places it wishes to find. By using this algorithm, middle-low price drone's autonomous navigation flight system expect to be apply to a variety of industries.

Membrane Inlet-based Portable Time-of-flight Mass Spectrometer for Analysis of Air Samples

  • Kim, Tae-Kyu;Jung, Kyung-Hoon;Yoo, Seung-Kyo;Jung, Kwang-Woo
    • Bulletin of the Korean Chemical Society
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    • 제26권2호
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    • pp.303-308
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    • 2005
  • A miniaturized time-of-flight mass spectrometer with an electron impact ionization source and sheet membrane introduction has been developed. The advantages and features of this mass spectrometer include high sensitivity, simple structure, low cost, compact volume with field portability, and ease of operation. A mass resolution of 400 at m/z 78 has been obtained with a 25 cm flight path length. Under optimized conditions, the detection limits for the volatile organic compounds (VOCs) studied were 0.2-10 ppm by volume with linear dynamic ranges greater than three orders of magnitude. The response times for various VOCs using a silicone membrane of 127 $\mu$m thickness were in the range 4.5-20 s, which provides a sample analysis time of less than 1 minute. These results indicate that the membrane introduction/time-of-flight mass spectrometer will be useful for a wide range of field applications, particularly for environmental monitoring.

무인항공기의 안전한 운항을 위한 임무계획/통제 분석 기법 (Mission Planning and Control Analysis Algorithms for the Safe Flight of an Unmanned Aerial Vehicle)

  • 류철형;나성웅
    • 한국항공우주학회지
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    • 제33권3호
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    • pp.71-77
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    • 2005
  • 일반적으로 무인항공기는 비행 전에 계획된 비행항로나 운용자의 실시간 통제에 따라 임무를 수행한다. 성공적으로 임무를 완수하려면 무인항공기와 지상통신장비 간의 통신 가시선 분석 등이 필수적으로 요구된다. 본 논문은 무인항공기의 안전한 비행을 위해 지상통제장비가 임무계획 단계와 임무통제 단계에서 수행하는 여러 가지 분석 기법들을 제안한다. 제안된 기법들은 대부분의 무인항공기 체계에 적용될 수 있다.

One optimization on the flight trajectories of re-entry vehicle

  • Takano, Hiroyuki;Nakamura, Kazuki;Baba, Yoriaki
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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    • pp.307-310
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    • 1996
  • In this paper, we deal with some numerical analyses of a re-entry vehicle in a 2-dimensional plane as an optimal control problem. To reduce the dynamic load, the heat load and the oscillation in the trajectory, we researched the trajectories in which the load factor or the rate of flight path angle was minimized during re-entry. In addition to that, taking advantage of the monotonous subarc method and the folded time-axis method, we tried to find the heat-less and load-less trajectory with combinations of some sectional functionals so that we can achieve more comfortability.

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군용항공기의 이.착륙 패턴에 따른 소음 영향 분석 (Analysis of the Noise Effects due to the Variation of Military Aircraft Flight Patterns of Takeoff and Approach)

  • 이진영;이찬;길현권
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2008년도 춘계학술대회논문집
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    • pp.626-629
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    • 2008
  • The present study investigates the effect of the flight patterns of military aircraft for takeoff and approach on noise map. Aircraft noise modeling and simulation have been made on a Korean military airport by INM(Integrated Noise Model). The flight path of a military aircraft is modeled with takeoff, overfly, approach and touch-and-go modes. The present INM simulations are conducted for various cases with change of different takeoff and approach modes. It show that the change of takeoff and approach modes can cause considerable noise effects on the noise influence region around the airport.

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UAV Formation Wight Control Law Utilizing Energy Maneuverability

  • Choi, Jong-Ug;Kim, You-Dan;Moon, Gwan-Young
    • International Journal of Aeronautical and Space Sciences
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    • 제9권1호
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    • pp.31-41
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    • 2008
  • This paper deals with the energy saving problem of the follower aircraft in the loose leader-follower formation geometry in which the lateral separation between formation members is more than a wingspan of the leader aircraft. This formation geometry offers no drag benefit, but has a strategic advantage. In the case of loose formation flight, the follower aircraft usually consumes more energy than the leader aircraft because the follower aircraft should use more thrust to maintain given formation geometry, especially during the turning phase from the outside of the leader"s flight path or join-up phase. A formation control scheme based on the energy maneuverability is proposed in this paper. To design the proposed control law, the velocity command is designed using feedback linearization for the horizontal formation geometry and then coverts it to the altitude command using the energy equation. Numerical simulation is performed to verify the effectiveness of the proposed controller.

Optimal Path Planning for UAVs to Reduce Radar Cross Section

  • Kim, Boo-Sung;Bang, Hyo-Choong
    • International Journal of Aeronautical and Space Sciences
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    • 제8권1호
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    • pp.54-65
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    • 2007
  • Parameter optimization technique is applied to planning UAVs(Unmanned Aerial Vehicles) path under artificial enemy radar threats. The ground enemy radar threats are characterized in terms of RCS(Radar Cross Section) parameter which is a measure of exposure to the radar threats. Mathematical model of the RCS parameter is constructed by a simple mathematical function in the three-dimensional space. The RCS model is directly linked to the UAVs attitude angles in generating a desired trajectory by reducing the RCS parameter. The RCS parameter is explicitly included in a performance index for optimization. The resultant UAVs trajectory satisfies geometrical boundary conditions while minimizing a weighted combination of the flight time and the measure of ground radar threat expressed in RCS.

시뮬레이션 환경에서의 DQN을 이용한 강화 학습 기반의 무인항공기 경로 계획 (Path Planning of Unmanned Aerial Vehicle based Reinforcement Learning using Deep Q Network under Simulated Environment)

  • 이근형;김신덕
    • 반도체디스플레이기술학회지
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    • 제16권3호
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    • pp.127-130
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    • 2017
  • In this research, we present a path planning method for an autonomous flight of unmanned aerial vehicles (UAVs) through reinforcement learning under simulated environment. We design the simulator for reinforcement learning of uav. Also we implement interface for compatibility of Deep Q-Network(DQN) and simulator. In this paper, we perform reinforcement learning through the simulator and DQN, and use Q-learning algorithm, which is a kind of reinforcement learning algorithms. Through experimentation, we verify performance of DQN-simulator. Finally, we evaluated the learning results and suggest path planning strategy using reinforcement learning.

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Nominal Trajectories of an Autonomous Under-actuated Airship

  • Bestaoui Yasmina
    • International Journal of Control, Automation, and Systems
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    • 제4권4호
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    • pp.395-404
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    • 2006
  • The objective of this paper is to generate a desired flight path to be followed by an autonomous airship. The space is supposed without obstacles. As there are six degrees of freedom and only three inputs for the LSC AS200 airship, three equality constraints appear due to the under-actuation.