• DocumentCode
    3266162
  • Title

    Path Planning of Parafoil System Based on Particle Swarm Optimization

  • Author

    Zhao, Liu ; Jianyi, Kong

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    450
  • Lastpage
    453
  • Abstract
    The paper describes the general controlling methods of controllable parafoil and designs a parafoil path planning method based on optimal control. To improve the accuracy of falling point and reducing manipulation quantity, this method transforms path planning of parafoil into parameter optimization by using the improved particle swarm optimization algorithm. Such an algorithm is effective for reaching a ideal solution, which is also the similar optimal solution of parafoil path planning. To verify the performance and the feasibility of this method, the traditional subdivision control method and optimal control method are compared respectively in simulation environment. Experiments show that the optimal control method of the parafoil path planning based on PSO can improve the accuracy of falling point and falling direction as well as reducing manipulation quantity.
  • Keywords
    aerospace components; aerospace control; control system synthesis; optimal control; particle swarm optimisation; path planning; controllable parafoil; manipulation quantity; optimal control; parafoil system; particle swarm optimization; path planning; subdivision control method; Control systems; Educational institutions; Optimal control; Paper technology; Particle swarm optimization; Path planning; Proportional control; Space technology; Space vehicles; Wind; PSO algotithm; controllable parafoil; path planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.131
  • Filename
    5231102