Onboard Flow Sensing For Downwash Detection and Avoidance On Small Quadrotor Helicopters

Abstract

Small rotary-wing UAVs are susceptible to gusts and other environmental disturbances that a ect inow at their rotors. Inow variations cause unexpected aerodynamic forces through changes in thrust conditions and unmodeled blade apping dynamics. This pa- per introduces an onboard, pressure-based ow measurement system developed for a small quadrotor helicopter. The probe-based instrumentation package provides spatially dis- tributed airspeed measurements along each of the aircraft- xed axes. Lateral and vertical windspeed estimates enable the development of disturbance-tolerant ight control strate- gies. The focus of this paper is vertical ow disturbances such as those caused by the downwash of a second vehicle. Real-time velocity measurements are incorporated into a recursive Bayesian estimator to localize a nearby rotorcraft using its downwash. A path planner developed for proximity ight is demonstrated through indoor ight testing with multiple vehicles to safely guide an instrumented quadrotor around the downwash of nearby rotorcraft.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2015
Accession Number
ADA620210

Entities

People

  • Derek A. Paley
  • Derrick W. Yeo
  • Donald Sofge
  • Nitin Sydney

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Autonomous Guidance
  • Autonomous Systems
  • Birds
  • Computers
  • Control Systems
  • Detection
  • Flow
  • Flow Fields
  • Fluid Flow
  • Helicopters
  • Hydrodynamics
  • Motion Capture
  • Rotary Wing Aircraft
  • Unmanned Aerial Vehicles
  • Vehicles
  • Wind Tunnels

Readers

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Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference