Unsteady aerodynamics modeling and application of the ducted fan UAV based on fuzzy logic method

Lei Yang, Zhengyin Ye

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Based on the blade element theory and sliding meshs technique, the steady and unsteady aerodynamic forces of the ducted fan UAV are calculated by CFD, and the influences of the elevator angles on the aerodynamic force are measured. Through making use of the CFD data as the training specimen, the unsteady aerodynamic models of the ducted fan UAV are set up by fuzzy logic method. These models have high accuracy and the unsteady effects of the ducted fan UAV and the coupling effects of aerodynamic and engine rotation speed are considered. Under the action of control system, the six degrees of freedom functions of the ducted fan UAV are solved. The time-domain simulation results and their analysis show preliminarily that the tracking performance and the low speed flight performance of the ducted fan UAV are good.

Original languageEnglish
Pages (from-to)849-856
Number of pages8
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume32
Issue number6
StatePublished - 1 Dec 2014

Keywords

  • Angle of attack
  • Angular velocity
  • Computational efficiency
  • Computational fluid dynamics
  • Computer simulation
  • Control systems
  • Degrees of freedom(mechanics)
  • Drag coefficient
  • Ducted fan UAV
  • Fuzzy logic
  • Mach number
  • Mathematical models
  • Measurements
  • Membership functions
  • Mesh generation
  • Navier-Stokes equations
  • Time-domain simulation
  • Unmanned aerial vehicles (UAV)
  • Unsteady aerodynamic model
  • Unsteady flow
  • VTOL/STOL aircraft

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