• 제목/요약/키워드: auto-pilot

검색결과 74건 처리시간 0.025초

교량 유지관리 지원을 위한 CAD/CAE 정보와 엔지니어링 문서정보의 통합 데이터베이스 (An Integrated Database of Engineering Documents and CAD/CAE Information for the Support of Bridge Maintenance)

  • 정연석;김봉근;이상호
    • 한국CDE학회논문집
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    • 제11권3호
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    • pp.183-196
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    • 2006
  • A new operation strategy. which can guarantee the data consistency of engineering information among the various intelligent information systems, is presented for engineering information of bridges, and construction methodology of integrated database is developed to support the strategy. The two core standard techniques are adopted to construct the integrated database. One is the Standard for the Exchange of Product Model Data (STEP) for CAD/CAE information and the other is the Extensible Markup Language(XML) for engineering document information. The former enabler structural engineers to handle the structural details with three-dimensional geometry-based information of bridges, and ACIS solid modeling kernel is employed to develop AutoCAD based application modules. The latter can make document files into data type for web-based application modules which assist end-users to search and retrieve engineering document data. In addition, relaying algorithm is developed to integrate the two different information, e.g. CAD/CAE information and engineering document information. The pilot application modules are also developed, and a case study subjected to the Han-Nam bridge is presented at the end of the paper to illustrate the use of the developed application modules.

분사압력 변화에 따른 디젤-DME연료의 다단분사 특성에 관한연구 (An Investigation on Spray Characteristics of Diesel - DME with Change of Injection Pressure)

  • 정연호;양지웅;오충환;임옥택
    • 한국분무공학회지
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    • 제18권4호
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    • pp.188-195
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    • 2013
  • An investigation on spray characteristics of fuels which diesel and di-methyl ether (DME) with change of injection pressure used the multi-injection in constant volume combustion chamber (CVCC). Diesel was already used famous fuel which we could use. DME showed similar features with diesel like as cetane number, auto-ignition temperature. High cetane number of diesel and DME could make possible to compression ignition. DME showed different atomization from diesel due to evaporating pressures and boiling points. Experiments were carried out in CVCC equipped with Delphi solenoid 6-hole type injector and the spray characteristics of diesel and DME were tested the various pre and pilot injection. Terms of injections and a number of injections in multi-injection has been controlled. Experiments were performed in 2 types that 1500 rpm, 2000 rpm and under the condition of injection ranging from 100 bar to 500 bar. From the results of this experiment diesel showed longer spray penetration than DME. That result showed different of atomization speed DME and diesel. Result of high injection pressure condition showed similar spray characteristics diesel and DME. After this investigation, new conditions and experiments using laser light to go forward and add the fuels like as the biodiesel and diesel and DME blend.

퍼지 게인스케듈링을 적용한 자동착륙 유도제어 알고리즘 설계 : 윈쉬어 환경에서의 착륙 (Design of Guidance and Control Algorithm for Autolanding In Windshear Environment Using Fuzzy Gain Scheduling)

  • 하철근;안상운
    • 제어로봇시스템학회논문지
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    • 제14권1호
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    • pp.95-103
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    • 2008
  • This paper deals with the problem of autolanding for aircraft under windshear environment for which the landing trajectory is given. It is well known that the landing maneuver in windshear turbulence is very dangerous and hard for the pilot to control because windshear is unpredictable in when and where it happens and its aerodynamic characteristics are complicated. In order to accomplish satisfactory autolanding maneuver in this environment, we propose a gain-scheduled controller. The proposed controller consists of three parts: PID controller, called baseline controller, which is designed to satisfy requirements of stability and performance without considering windshear, gain scheduler based on fuzzy logic, and safety decision logic, which decides if the current autolanding maneuver needs to be aborted or not. The controller is applied to a 6-DOF simulation model of the associated airplane in order to illustrate the effectiveness of the proposed control algorithm. It is noted that a cross wind in the lateral direction is included to the simulation model. From the simulation results it is observed that the proposed gain scheduled controller shows superior performance than the case of controller without gain scheduling even in severe downburst and tailwind region of windshear. In addition, touchdown along centerline of the runway is more precise for the proposed controller than for the controller without gain scheduling in the cross wind and the tailwind.

수직이착륙 무인기 함상 착륙점의 상하 운동 추정 (Heave Motion Estimation of a Ship Deck for Shipboard Landing of a VTOL UAV)

  • 조암;유창선;강영신;박범진
    • 항공우주시스템공학회지
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    • 제8권3호
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    • pp.14-19
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    • 2014
  • When a helicopter lands on a ship deck in high sea states, one of main difficulties is the ship motion by sea wave, In case of a manned helicopter, a pilot lands a helicopter on the deck during quiescent period of ship motion, which is perceived from different visual cues around landing spot. The capability to predict this quiescent period is very important especially for shipboard recovery of VTOL UAV in harsh environments. This paper describes how to predict heave motion of a ship for shipboard landing of a VTOL UAV. For simulation, ship motion by sea wave was generated using a 4,000 ton class US destroyer model. Heave motion of ship deck was predicted by applying auto-regression method to generated time series data of ship motion.

터그보트를 이용한 선박접안제어기술 개발에 관한 연구 (A Development of Constrained Control Allocation for Ship Berthing by Using Autonomous Tugboats)

  • 배헌민;부이반퍽;이동석;김영복
    • 동력기계공학회지
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    • 제14권6호
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    • pp.96-101
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    • 2010
  • 접안을 위해 선박이 안벽으로 접근할 때나, 좁은 항내에서 선박을 조종할 때는 항해 중에서보다 많은 제약이 따른다. 그것은 대형 선박일수도 분 관성력으로 인해 효과적인 제어가 어렵기 때문이다. 그래서 터그보트를 수동적으로 제어하여 선박을 접안시키는 것이 현재로선 가장 일반적이 접안기술이라 할 수 있다. 지능적인 제어기술을 적용하여 자동접안을 시도하려는 연구결과가 보고되고 있으나, 대부분이 auto-pilot 기술에 지나지 않으며 어느 것 하나 안정적인 접안을 위한 접안기술로 볼 수 없다. 이와 같이 터그보트를 이용할 수밖에 없는 현실이라면, 보다 효과적인 터그보트 제어기술을 기반으로 한 접안지원시스템을 개발하는 것이 우선일 것이다. 그래서 본 논문에서는 터그보트의 원격제어를 통해 모선을 효과적이고 안정적으로 접안하는 문제에 대해 고찰하였다. 즉, 터그보트로 조종되는 선박조종시스템에 대한 모델링을 수행하고, 터그보트로부터 발생되는 제어력을 적절히 분배하여 모선을 제어하는 새로운 접안지원시스템을 개발하였다. 시뮬레이션을 통해 제안된 시스템의 유효성을 검증하였다.

SPM 이안 선박의 조종영역에 관한 연구 (A Study on the Maneuvering Area of Ship in Moving at Single Point Mooring)

  • 김진수
    • 선박안전
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    • 통권23호
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    • pp.78-97
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    • 2007
  • SPM, which is an abbreviation of Single Point Mooring, also called as SBM(Single Buoy Mooring), is a special buoy besides the quays of the harbor for mooring ships, and is normally a 3m wide cone or cylinder shaped steel drum fixed underwater so it won't move, and is used for mooring cargo-work at outer port by laid-up ships and large crude oil carrier. The work of VLCC SPM mainly is accomplished on the open sea. On the open sea as a result of meteorological condition and the ocean wave influence, When the weather condition is get bed, peremptorily moving to the safety place, because of the gale and the billow, almost happened frequently, the pilot is unable to go on board and the tug is also unable to be used Now because of the bad weather the VLCC SPM moving to the other safety place frequently happened in the ulsan port. the construction of new harbor, it constructed many break water around SPM. So that it is necessary to propose the new standard about how to maneuvering area actually. The standard for handling ranges of the SPM operations was tested and verified by a simulation.. So that it is necessary to propose the new standard about how to maneuvering area actually.

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선박의 퍼지 제어에 관한 연구 (On the Application of Fuzzy Control to Ship's Stering System)

  • 임봉택;이철영
    • 한국항해학회지
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    • 제14권4호
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    • pp.17-30
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    • 1990
  • Since L.A. Zadeh introduced the theory of fuzzy sets in 1965, E.H. Mamdani applied the theory to the steam engine control in 1974. Since then, scientists have shown a great deal of interests in its application to practical problems and the possibility of the application of the theory a more complicate system has been increasing greatly. In the fuzzy control, the qualitative knowledge and intuition that the operators of a system has acquired through their experience can be logically described by the Linguistic Control Rule(LCR). The algorithm of th control is made of the LCR, and th control of an object is performed by processing this algorithm implementing a computer. in this thesis, the fuzzy controller of the ship's steering system is devided into two systems, namely FC1 and FC2, according to their control function. FC1 is for the course keeping steering, wheress FC2 is for the altering of s ship's course. The characteristics of the control system were investigated through the digital computer simulation and the results were compared with those of the conventional steering system. It was found that the fuzzy control was more efficient than the conventional auto pilot system.

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공공 데이터를 이용한 UAV 자동경로비행 (auto-pilot flight for UAVs using public Data)

  • 박경석;김민준;;;김승호
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2019년도 춘계학술발표대회
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    • pp.242-245
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    • 2019
  • 움직이는 UAV는 많은 위치에너지와 운동에너지를 가지므로 지상으로 추락하는 경우 많은 충격량을 가질 수 있다. 이는 인명피해로 연결될 수 있기 때문에 본 논문에서는 UAV 비행경로 상의 인구밀집지역을 위험구역으로 정의하였다. 기존의 UAV 경로비행은 사용자에 의해 미리 설정된 경로만을 운행하는 수동적인 형태였다. 일부 UAV는 경로비행 중 장애물을 회피하는 시스템 등 안전기능을 포함하고 있지만, 비행환경변화에 대응하기에는 부족하다. UAV 경로비행에 공공 데이터를 활용할 경우, 위험구역을 검출하고 회피비행을 수행할 수 있어서 비행환경변화에 대한 대응이 향상될 수 있다. 따라서 본 논문에서는 수집된 데이터를 활용하여 위험구역을 회피하는 최적경로 비행 방안을 제안한다. 실험결과, 제안하는 자동경로비행에서 목적지와 목적지에 따른 경로를 지정할 경우, 위험지역을 스스로 판단하여 최적 우회경로로 비행하는 것을 확인하였다. 추후 회피방안에 따라 비행하여 획득하는 영상의 질적 만족도를 높일 수 있는 방안을 연구할 예정이다.

A Machine Learning Univariate Time series Model for Forecasting COVID-19 Confirmed Cases: A Pilot Study in Botswana

  • Mphale, Ofaletse;Okike, Ezekiel U;Rafifing, Neo
    • International Journal of Computer Science & Network Security
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    • 제22권1호
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    • pp.225-233
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    • 2022
  • The recent outbreak of corona virus (COVID-19) infectious disease had made its forecasting critical cornerstones in most scientific studies. This study adopts a machine learning based time series model - Auto Regressive Integrated Moving Average (ARIMA) model to forecast COVID-19 confirmed cases in Botswana over 60 days period. Findings of the study show that COVID-19 confirmed cases in Botswana are steadily rising in a steep upward trend with random fluctuations. This trend can also be described effectively using an additive model when scrutinized in Seasonal Trend Decomposition method by Loess. In selecting the best fit ARIMA model, a Grid Search Algorithm was developed with python language and was used to optimize an Akaike Information Criterion (AIC) metric. The best fit ARIMA model was determined at ARIMA (5, 1, 1), which depicted the least AIC score of 3885.091. Results of the study proved that ARIMA model can be useful in generating reliable and volatile forecasts that can used to guide on understanding of the future spread of infectious diseases or pandemics. Most significantly, findings of the study are expected to raise social awareness to disease monitoring institutions and government regulatory bodies where it can be used to support strategic health decisions and initiate policy improvement for better management of the COVID-19 pandemic.

RTK를 이용한 회전익 드론 정밀 착륙 실험 (Experiments of RTK based Precision Landing for Rotary Wing Drone)

  • 김영규;장진웅;이종휘;유종호;백승현;김대년
    • 대한임베디드공학회논문지
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    • 제18권2호
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    • pp.75-80
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    • 2023
  • Unmanned drone stations for automatic charging have been developed in order to overcome the flying time limitation of rotary wing drones. Since the drone stations is an unmanned operating system, each of the drones will be required to have a high degree of landing accuracy. Drone precision landing has been mainly studied depended on image processing technologies, but the image processing systems make several problems, such as the mission weight, the drone cost, and the development complexity increases, and the flight time decrease. Thus, this paper researched accuracy of precision landing based on RTK (real time kinetics) for rotary wing drones. For the experiments of RTK based precision landing, a drone repeatedly performed three missions. The survey accuracies of the RTK about missions respectively were set as 0.3, 0.2, and 0.1 meters. Each mission has one take-off point, two way-points and one landing-point, and was repeated ten times. The experiment results revealed landing error distance means of around 0.258, 0.12 and 0.057 meters on each of RTK setting.