• DocumentCode
    2240233
  • Title

    Equational dynamic modeling and adaptive control of UAV

  • Author

    Ye, Zhengmao ; Bhattacharya, Pradeep ; Mohamadian, Habib ; Majlesein, Hamid ; Yongmao Ye

  • Author_Institution
    Dept. of Electr. Eng., Southern Univ., Baton Rouge, LA
  • fYear
    2006
  • fDate
    24-26 April 2006
  • Abstract
    Unmanned aerial vehicle (UAV) is an auto-piloted and remote-controlled vehicle sustained by the aerodynamic lift over its whole flight profile. It has many applications such as weather forecast, terrain surveying, environment surveillance, hazardous cleanup, military defense, and so on. In this paper, a simplified nonlinear equational modeling of UAV dynamics is conducted and then linearization and adaptive control approaches are designed. The objective is to apply aerodynamic theory and adaptive control theory on accurate UAV explicit modeling to enhance capabilities of UAV navigation and prediction against various severe conditions
  • Keywords
    adaptive control; aerodynamics; aerospace control; linearisation techniques; mobile robots; remotely operated vehicles; UAV; adaptive control; aerodynamic lift; aerodynamic theory; auto-piloted-remote-controlled vehicle; nonlinear equational dynamic modeling; unmanned aerial vehicle; Adaptive control; Aerodynamics; Artificial intelligence; Equations; Power system modeling; Predictive models; Sliding mode control; Surveillance; Unmanned aerial vehicles; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System of Systems Engineering, 2006 IEEE/SMC International Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    1-4244-0188-7
  • Type

    conf

  • DOI
    10.1109/SYSOSE.2006.1652318
  • Filename
    1652318