• Title/Summary/Keyword: Autonomous flight control system

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Development Trend of the Autonomous Flight Control Technology (자율비행기술 동향)

  • Seong, Kie-Jeong;Kim, Eung-Tai;Kim, Seong-Pil
    • Current Industrial and Technological Trends in Aerospace
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    • v.6 no.2
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    • pp.143-153
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    • 2008
  • This paper describes the current research trend and future development direction of autonomous flight of the aircraft. The autonomous flight means that aircraft control system recognize and cope with the emergency situation confronted during the flight by itself. Current research for autonomous flight technology is mainly performed for the application to unmanned air vehicle. Considering advent of future air traffic management system and increasing demand of the unmanned air vehicle application, however, autonomous flight technology required to be combined with future air traffic management system. In this paper, the current air traffic management system and anticipating change in future air traffic management system was investigated and research activities of autonomous flight technology was described as well as future prospect.

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Mathematical modeling for flocking flight of autonomous multi-UAV system, including environmental factors

  • Kwon, Youngho;Hwang, Jun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.2
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    • pp.595-609
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    • 2020
  • In this study, we propose a decentralized mathematical model for predictive control of a system of multi-autonomous unmanned aerial vehicles (UAVs), also known as drones. Being decentralized and autonomous implies that all members make their own decisions and fly depending on the dynamic information received from other unmanned aircraft in the area. We consider a variety of realistic characteristics, including time delay and communication locality. For this flocking flight, we do not possess control for central data processing or control over each UAV, as each UAV runs its collision avoidance algorithm by itself. The main contribution of this work is a mathematical model for stable group flight even in adverse weather conditions (e.g., heavy wind, rain, etc.) by adding Gaussian noise. Two of our proposed variance control algorithms are presented in this work. One is based on a simple biological imitation from statistical physical modeling, which mimics animal group behavior; the other is an algorithm for cooperatively tracking an object, which aligns the velocities of neighboring agents corresponding to each other. We demonstrate the stability of the control algorithm and its applicability in autonomous multi-drone systems using numerical simulations.

Implementation and Test of the Automatic Flight Dynamics Operations for Geostationary Satellite Mission

  • Park, Sang-Wook;Lee, Young-Ran;Lee, Byoung-Sun;Hwang, Yoo-La;Galilea, Javier Santiago Noguero
    • Journal of Astronomy and Space Sciences
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    • v.26 no.4
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    • pp.635-642
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    • 2009
  • This paper describes the Flight Dynamics Automation (FDA) system for COMS Flight Dynamics System (FDS) and its test result in terms of the performance of the automation jobs. FDA controls the flight dynamics functions such as orbit determination, orbit prediction, event prediction, and fuel accounting. The designed FDA is independent from the specific characteristics which are defined by spacecraft manufacturer or specific satellite missions. Therefore, FDA could easily links its autonomous job control functions to any satellite mission control system with some interface modification. By adding autonomous system along with flight dynamics system, it decreases the operator's tedious and repeated jobs but increase the usability and reliability of the system. Therefore, FDA is used to improve the completeness of whole mission control system's quality. The FDA is applied to the real flight dynamics system of a geostationary satellite, COMS and the experimental test is performed. The experimental result shows the stability and reliability of the mission control operations through the automatic job control.

Intelligent 3-D Obstacle Avoidance Algorithm for Autonomous Control of Underwater Flight Vehicle (수중비행체의 자율제어를 위한 지능형 3-D 장애물회피 알고리즘)

  • Kim, Hyun-Sik;Jin, Tae-Seok;Sur, Joo-No
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.3
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    • pp.323-328
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    • 2011
  • In real system application, the 3-D obstacle avoidance system for the autonomous control of the underwater flight vehicle (UFV) operates with the following problems: the sonar offers the range/bearing information of obstacles in a local detection area, it requires the system that has reduced acoustic noise and power consumption in terms of the autonomous underwater vehicle (AUV), it has the UFV operation constraints such as maximum pitch and depth, and it requires an easy design procedure in terms of its structures and parameters. To solve these problems, an intelligent 3-D obstacle avoidance algorithm using the evolution strategy (ES) and the fuzzy logic controller (FLC), is proposed. To verify the performance of the proposed algorithm, the 3-D obstacle avoidance of UFV is performed. Simulation results show that the proposed algorithm effectively solves the problems in the real system application.

Development of the compact Integrated Flight Control Computer (소형 통합형 비행조종컴퓨터 개발)

  • Chang, SungHo;Koo, SamOk;Park, JuWon
    • Journal of Aerospace System Engineering
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    • v.2 no.1
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    • pp.17-21
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    • 2008
  • A compact, light-weight, integrated flight control computer(IFCC) for small unmanned autonomous vehicles is developed. Its design objective is to produce an all in one avionics system which includes the navigation sensor, data link, attitude sensors and air data sensors. The initial phase of ground and flight tests are performed to verify the prototype IFCC, showing promising results. The high potential of its application is expected.

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Design of Flight Control System for KARI Unmanned Airship (50m급 중고도 무인 비행선의 자동비행시스템 설계)

  • 김성필;주광혁;안이기
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.2
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    • pp.139-144
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    • 2004
  • The flight control system designed for an unmanned airship, which is under development by KARI, is in reduced. First, the dynamic characteristics of the airship are addressed, which are fairly different from those of the nominal aircraft. In order to implement autonomous flight for the unmanned airship, flight control logic is designed including autopilot and guidance law. The autopilot is designed under consideration of the velocity region of the unmanned airship. The guidance laws are implemented in main operational modes such as point navigation, station keeping and spiral up/down for emergency return. Their simulation results are also presented in order to validate performances of the flight control system.

Intelligent Obstacle Avoidance Algorithm for Autonomous Control of Underwater Flight Vehicle (수중비행체의 자율제어를 위한 지능형 장애물회피 알고리즘)

  • Kim, Hyun-Sik;Jin, Tae-Seok
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.5
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    • pp.635-640
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    • 2009
  • In real system application, the obstacle avoidance system for the autonomous control of the underwater flight vehicle (UFV) operates with the following problems: it has local information because the sonar can only offer the obstacle information in a local detection area, it requires a continuous control input because the system that has reduced acoustic noise and power consumption is necessary, and further, it requires an easy design procedure in terms of its structures and parameters. To solve these problems, an intelligent obstacle avoidance algorithm using the evolution strategy (ES) and the fuzzy logic controller (FLC), is proposed. To verify the performance of the proposed algorithm, the obstacle avoidance of UFV is performed. Simulation results show that the proposed algorithm effectively solves the problems in the real system application.

Design and Flight Test of Path Following System for an Unmanned Airship (무인 비행선의 자동 경로 추종 시스템 개발 및 비행시험)

  • Jung, Kyun-Myung;Sung, Jae-Min;Kim, Byoung-Soo;Je, Jeong-Hyeong;Lee, Sung-Gun
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.5
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    • pp.498-509
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    • 2010
  • In this paper, a waypoint guidance law Line Tracking algorithm is designed for testing an Unmanned Airship. In order to verify, we develop an autonomous flight control and test system of unmanned airship. The flight test system is composed FCC (Flight Control Computer), GCS (Ground Control System), Autopilot & Guidance program, GUI (Graphic User Interface) based analysis program, and Test Log Sheet for the management of flight test data. It contains flight test results of single-path & multi-path following, one point continuation turn, LOS guidance, and safe mode for emergency.

Autonomous Flight Experiment of a Foldable Quadcopter with Airdrop Launching Function (고공 비행개시가 가능한 접이식 쿼더콥터 자율비행 실험)

  • Lee, Cheonghwa;Chu, Baeksuk
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.17 no.2
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    • pp.109-117
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    • 2018
  • The experimental results are presented of an autonomous flight algorithm of a foldable quadcopter with airdrop launching functions. A foldable wing structure enabled the quadcopter to be inserted into a rocket container with limited space. The foldable quadcopter was then separated from the rocket in the air. The flight pattern was tracked using a global positioning system (GPS) with various sensors, including an inertial measurement unit (IMU) module until a designated target position was reached. Extensive field tests were conducted through an international rocket competition, ARLISS 2017, which was held in Black Rock Desert, Nevada, USA. The flight trajectory record of the experiments is stored in electrically erasable programmable read-only memory (EEPROM) embedded in the main control unit. The flight record confirmed that the quadcopter successfully separated from the rocket, executed flight toward the target for a certain length of time, and stably landed on the ground.

Design of the Automatic Flight and Guidance Controller for 50m Unmanned Airship Platform

  • Lee, Sang-Jong;Kim, Seong-Pil;Kim, Tae-Sik;Kim, Dong-Min;Bang, Hyo-Choong
    • International Journal of Aeronautical and Space Sciences
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    • v.6 no.2
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    • pp.64-75
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    • 2005
  • The Stratospheric Airship Platform (SAP) has a capability of performing the autonomous and guidance flight to satisfy given missions. To be used as the High Altitude Platforms (HAPs), the capabilities of controlling platform's accurate position and keeping the station point are the most important features. Under this circumstances Autonomous Flight Control System (AFCS) is a critical system and plays a key role in achieving the given requirements and succeeding in missions. In this paper, the design and analysis results of the AFCS algorithms and controller are presented. The brief summary of the AFCS hardware structure is also explained. The autopilot controller and guidance logics were designed based on the linear dynamics of the unmanned airship platform and the full nonlinear dynamics was considered to evaluate and verify their performances.