Flight Path Simulation of Maneuverable Unmanned Aerial Vehicles Based on Kalman Filter

被引：0
|
作者：
Yang, Wenda [1 ]
Wen, Xiangxi [1 ]
Lv, Maolong [1 ]
Wu, Minggong [1 ]
机构：
[1] Air Force Engn Univ, Air Traff Control & Nav Sch, Xian, Peoples R China
来源：
2023 9TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS, ICCAR | 2023年
基金：
美国国家科学基金会;
关键词：
UAV; kalman filter; target tracking; numerical simulation; TARGET TRACKING;
D O I：
10.1109/ICCAR57134.2023.10151758
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper introduces the basic concept of maneuvering target tracking by improving the tracking algorithm of the UAV maneuvering target. Finally, we simulate several typical UAV maneuvering models and analyze and compare the performance of each algorithm and the influence of parameter changes on the algorithm. Experiments show that the Kalman filter algorithm can filter linear systems and nonlinear systems after improvement. The filter precision, computational complexity, and storage capacity are considered, which is easy to meet the requirements of real-time calculation and has great engineering practical value.
引用
收藏
页码：205 / 209
页数：5
相关论文
共 50 条
  • [21] Kalman Filter Based Team Navigation for Multiple Unmanned Marine Vehicles
    Schneider, Matthias
    Glotzbach, Thomas
    Jacobi, Marco
    Mueller, Fabian
    Eichhorn, Mike
    Otto, Peter
    2008 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, VOLS 1 AND 2, 2008, : 523 - +
  • [22] Path Planner for Unmanned Aerial Vehicles Based on Modified PSO Algorithm
    Zhu Hongguo
    Zheng Changwen
    Hu Xiaohui
    Li Xiang
    2008 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, VOLS 1-4, 2008, : 541 - +
  • [23] Range-based collaborative relative navigation for multiple unmanned aerial vehicles using consensus extended Kalman filter
    Gong, Baichun
    Wang, Sha
    Hao, Mingrui
    Guan, Xujun
    Li, Shuang
    AEROSPACE SCIENCE AND TECHNOLOGY, 2021, 112
  • [24] Cubature Kalman Filter Based Attitude Estimation for Micro Aerial vehicles
    Shi, Zhangsong
    Wu, Zhonghong
    Liu, Jian
    Fu, Bing
    2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 1, 2016, : 121 - 125
  • [25] Viability of joined flight for small unmanned aerial vehicles
    Levis, E.
    Pleho, F.
    Hedges, J.
    AERONAUTICAL JOURNAL, 2020, 124 (1273): : 297 - 322
  • [26] Obstacle Avoidance for Flight Safety on Unmanned Aerial Vehicles
    Aguilar, Wilbert G.
    Casaliglla, Veronica P.
    Polit, Jose L.
    Abad, Vanessa
    Ruiz, Hugo
    ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2017, PT II, 2017, 10306 : 575 - 584
  • [27] A Flight Time Approximation Model for Unmanned Aerial Vehicles: Estimating the Effects of Path Variations and Wind
    Henchey, Matthew J.
    Batta, Rajan
    Karwan, Mark
    Crassidis, Agamemnon
    MILITARY OPERATIONS RESEARCH, 2014, 19 (01) : 51 - 68
  • [28] Integrated Flight Dynamics Modelling for Unmanned Aerial Vehicles
    Ou, Qing
    Chen, XiaoQi
    Park, David
    Marburg, Aaron
    Pinchin, James
    PROCEEDINGS OF 2008 IEEE/ASME INTERNATIONAL CONFERENCE ON MECHATRONIC AND EMBEDDED SYSTEMS AND APPLICATIONS, 2008, : 570 - +
  • [29] Thermal soaring flight of birds and unmanned aerial vehicles
    Akos, Zsuzsa
    Nagy, Mate
    Leven, Severin
    Vicsek, Tamas
    BIOINSPIRATION & BIOMIMETICS, 2010, 5 (04)
  • [30] FLIGHT PHASE CLASSIFICATION FOR SMALL UNMANNED AERIAL VEHICLES
    Lesko, Jakub
    Andoga, Rudolf
    Breda, Robert
    Hlinkova, Miriam
    Fozo, Ladislav
    AVIATION, 2023, 27 (02) : 75 - 85
12345