• DocumentCode
    3076365
  • Title

    Effect of competing V-tail models on a UAS 6-DOF nonlinear simulation

  • Author

    Smith, Nathan ; Lykins, Ryan ; Keshmiri, Shawn

  • Author_Institution
    Dept. of Aerosp. Eng., Univ. of Kansas, Lawrence, KS, USA
  • fYear
    2015
  • fDate
    9-12 June 2015
  • Firstpage
    1330
  • Lastpage
    1337
  • Abstract
    A Six DOF nonlinear model of a large unmanned aerial system is developed using two competing approaches in modeling aircraft with V-tail configuration. In one approach the V-tail is projected into horizontal and vertical planes and the aircraft airflow angles, angle of attack and sideslip angle, are used for analysis. This approach has been successfully used to model aircraft with low horizontal tail dihedral however the nonlinear aerodynamics generated by the angularity of airflow is not captured. At large dihedral angles these nonlinearities can increase the uncertainty in physics based models. The second method employs lifting line method to calculate the local angle of attack on the V-tail and the pressure gradient effects from one lifting surface on another in close proximity. This method should reduce that uncertainty in the V-tail dynamics. For comparison of the two competing methods, fuzzy logic modeling techniques with nonlinear aerodynamic modeling capabilities are used for parameter identification of a large unmanned aerial system with a V-tail. Both methods fail to accurately capture nonlinear and unsteady aerodynamics such as yawing moments however, simulation results show moderate improvement in the quality of 6 DOF nonlinear models for longitudinal dynamics if the nonlinear projection method is used.
  • Keywords
    aerodynamics; autonomous aerial vehicles; fuzzy control; gradient methods; nonlinear control systems; parameter estimation; vehicle dynamics; UAS 6-DOF nonlinear simulation; V-tail configuration; V-tail dynamics; aircraft airflow angles; aircraft modeling; airflow angularity; attack angle; close proximity; competing V-tail models; dihedral angles; fuzzy logic modeling techniques; horizontal planes; horizontal tail dihedral; lifting line method; longitudinal dynamics; nonlinear aerodynamic modeling capabilities; nonlinear aerodynamics; nonlinear projection method; parameter identification; pressure gradient effects; sideslip angle; unmanned aerial system; unsteady aerodynamics; vertical planes; yawing moments; Aerodynamics; Aircraft; Atmospheric modeling; Data models; Mathematical model; Stability analysis; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4799-6009-5
  • Type

    conf

  • DOI
    10.1109/ICUAS.2015.7152427
  • Filename
    7152427