Integrated Flight Dynamics Modelling for Unmanned Aerial Vehicles

被引:0
|
作者
Ou, Qing [1 ]
Chen, XiaoQi [1 ]
Park, David [2 ]
Marburg, Aaron [2 ]
Pinchin, James [3 ]
机构
[1] Univ Canterbury, Dept Mech Engn Dept, Private Bag 4800, Christchurch 8140, New Zealand
[2] Geospatial Res Ctr NZ Ltd, Christchurch 8140, New Zealand
[3] Univ Canterbury, Geospatial Res Ctr NZ Ltd, Dept Mech Engn, Christchurch 8140, New Zealand
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The primary motivation to build a flight dynamics model was for dead reckoning of Unmanned Aerial Vehicle, a process of estimating the aircraft's motions from the last known state during the interval of losing GPS signals. When a wind model was added to the flight simulation, it had the ability to either load wind data externally, or to produce random turbulence internally, from light to severe. This additional feature gave the simulation a more realistic flight environment. As a result, it can be used to predict the stability and flying characteristics of UAVs. Likewise, autopilot controllers can be tested in extreme conditions before they are implemented. The modified generic flight model permits modelling of completely arbitrary vehicle configurations, from miniature Unmanned Aerial Vehicles (UAVs) to transonic fighters. Building the model in Matlab Simulink allowed rapid development of new aircraft models, and has provided a very flexible platform for users to tailor their flight models.
引用
收藏
页码:570 / +
页数:2
相关论文
共 50 条
  • [21] Integration of mission planning and flight scheduling for unmanned aerial vehicles
    Chanthery, E
    Barbier, M
    Farges, JL
    Planning, Scheduling and Constraint Satisfaction: From Theory to Practice, 2005, 117 : 109 - 118
  • [22] Mathematical modeling of flight reconfiguration of a unmanned aerial vehicles group
    Kubyshkin, E. P.
    Kazakov, L. N.
    Sterin, D. I.
    2018 SYSTEMS OF SIGNAL SYNCHRONIZATION, GENERATING AND PROCESSING IN TELECOMMUNICATIONS (SYNCHROINFO), 2018,
  • [23] Unmanned Aerial Vehicles Flight Testing Denoising Based on SVD
    Deng Zhenghong
    Zhang Tong
    Wang Lei
    PROCEEDINGS OF 2010 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON AEROSPACE TECHNOLOGY, VOL 1 AND 2, 2010, : 506 - 509
  • [24] Autonomous Flight of Unmanned Aerial Vehicles Using Evolutionary Algorithms
    Gaudin, Americo
    Madruga, Gabriel
    Rodriguez, Carlos
    Iturriaga, Santiago
    Nesmachnow, Sergio
    Paz, Claudio
    Danoy, Gregoire
    Bouvry, Pascal
    HIGH PERFORMANCE COMPUTING, CARLA 2019, 2020, 1087 : 337 - 352
  • [25] Optimal Control Flight the Restructuring of the Group of Unmanned Aerial Vehicles
    Kubishkin, E. P.
    Sterin, D. I.
    Kazakov, L. N.
    Selyanskaya, E. A.
    2019 SYSTEMS OF SIGNAL SYNCHRONIZATION, GENERATING AND PROCESSING IN TELECOMMUNICATIONS (SYNCHROINFO), 2019,
  • [26] In-Flight Detection of Vibration Anomalies in Unmanned Aerial Vehicles
    Banerjee, Portia
    Okolo, Wendy A.
    Moore, Andrew J.
    JOURNAL OF NONDESTRUCTIVE EVALUATION, DIAGNOSTICS AND PROGNOSTICS OF ENGINEERING SYSTEMS, 2020, 3 (04):
  • [27] Intelligent control method for flanking flight of unmanned aerial vehicles
    Wang R.
    Yu X.-L.
    Wu N.-C.
    International Journal of Vehicle Structures and Systems, 2020, 11 (04) : 355 - 361
  • [28] Optimal tracking control of flight trajectory for unmanned aerial vehicles
    Khan, Md Shehzad
    Su, Hao
    Tang, Gong-You
    2018 IEEE 27TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2018, : 264 - 269
  • [29] Formation of programmed spatial flight trajectories of unmanned aerial vehicles
    Afanas’ev V.A.
    Degtyarev G.L.
    Meshchanov A.S.
    Russian Aeronautics, 2017, 60 (3): : 349 - 357
  • [30] Collision Avoidance Strategies for Unmanned Aerial Vehicles in Formation Flight
    Seo, Joongbo
    Kim, Youdan
    Kim, Seungkeun
    Tsourdos, Antonios
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2017, 53 (06) : 2718 - 2734