OptimalPath Planning for Unmanned Aerial Vehicles in Average Winds

被引:0
|
作者
Guo, Zhining [1 ]
She, Haoping [1 ]
Ni, Hui [2 ]
机构
[1] Beijing Inst Technol, Sch Aerosp Engn, Beijing 100081, Peoples R China
[2] China North Grp Co, Sci Res Inst, Beijing 100089, Peoples R China
关键词
Unmanned Aerial Vehicles; Path Planning; Wind Model;
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
This paper considers the optimal route planning problem for an unmanned aerial vehicle which flies in average wind field with constant altitude and airspeed between two fixed positions. According to characters of the average wind and voyage of the unmanned aerial vehicles, constant wind model and wind model varying with position are presented based on formula from meteorology and function approximation. By defining new Euler angles, kinematic model in arbitrary variable wind fields and equations expressing relation between airspeed and ground speed are derived. If the distance between origin and destination is much larger than minimum turning radius, the turn rate constraint can be neglected. Analytic expressions are developed to solve the problem by calculus of variations. This solution has small calculation quantity, and it can be used to real-time online implementation for the unmanned aerial vehicle. Simulation examples show that it is feasible and effective for optimal route planning.
引用
收藏
页码:5378 / 5382
页数:5
相关论文
共 50 条
  • [1] Minimum-Time Path Planning for Unmanned Aerial Vehicles in Steady Uniform Winds
    Techy, Laszlo
    Woolsey, Craig A.
    [J]. JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2009, 32 (06) : 1736 - 1746
  • [2] Mission planning for unmanned aerial vehicles
    Hu Chunhua
    Fan Yong
    Jiang Zhihong
    Zhu Jihong
    Sun Zengqi
    [J]. 2006 IMACS: MULTICONFERENCE ON COMPUTATIONAL ENGINEERING IN SYSTEMS APPLICATIONS, VOLS 1 AND 2, 2006, : 597 - +
  • [3] Flight Planning for Unmanned Aerial Vehicles
    Fuegenschuh, Armin
    Muellenstedt, Daniel
    Schmidt, Johannes
    [J]. MILITARY OPERATIONS RESEARCH, 2021, 26 (03) : 49 - 71
  • [4] Trajectory Planning Algorithms for Unmanned Aerial Vehicles
    Liu Zhiping
    Tan Fang
    [J]. 2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, : 698 - 701
  • [5] Environment for Planning Unmanned Aerial Vehicles Operations
    Pascarelli, Claudio
    Marra, Manuela
    Avanzini, Giulio
    Corallo, Angelo
    [J]. AEROSPACE, 2019, 6 (05)
  • [6] Route planning for multiple unmanned aerial vehicles
    Aguiar, Antonio Lucas Sousa
    Pinto, Vandilberto Pereira
    Sousa, Ligia Maria Carvalho
    Da Silva Pinheiro, Jose Lucas
    do Nascimento Sousa, Jose Cleilton
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2024, 100 (09): : 219 - 223
  • [7] Ellipsoidal Path Planning for Unmanned Aerial Vehicles
    Villasenor, Carlos
    Gallegos, Alberto A.
    Lopez-Gonzalez, Gehova
    Gomez-Avila, Javier
    Hernandez-Barragan, Jesus
    Arana-Daniel, Nancy
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (17):
  • [8] Survey on Coverage Path Planning with Unmanned Aerial Vehicles
    Cabreira, Taua M.
    Brisolara, Lisane B.
    Paulo R., Ferreira Jr.
    [J]. DRONES, 2019, 3 (01) : 1 - 38
  • [9] Path planning in unmanned aerial vehicles: An optimistic overview
    Shahid, Noor
    Abrar, Muhammad
    Ajmal, Ushna
    Masroor, Roha
    Amjad, Shehzad
    Jeelani, Mubashir
    [J]. INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2022, 35 (06)
  • [10] Integrating Task and Motion Planning for Unmanned Aerial Vehicles
    Cons, Matthew S.
    Shima, Tal
    Domshlak, Carmel
    [J]. UNMANNED SYSTEMS, 2014, 2 (01) : 19 - 38