Bio-Inspired, Odor-Based Navigation

Abstract

The ability of moths to locate a member of the opposite sex, by tracking a wind-borne plume of odor molecules, is an amazing reality. Numerous scenarios exist where having this capability embedded into ground-based or aerial vehicles would be invaluable. The main crux of this thesis investigation is the development of a navigation algorithm which gives a UAV the ability to track a chemical plume to its source. Inspiration from the male moth's, in particular Manduca sexta, ability to successfully track a female's pheromone plume was used in the design of both 2-D and 3-D navigation algorithms. The algorithms were developed to guide autonomous vehicles to the source of a chemical plume. The algorithms were implemented using a variety of fuzzy controllers and ad hoc engineering approaches. The fuzzy controller was developed to estimate the location of a vehicle relative to the plume: coming into the plume, in the plume, exiting the plume, or out of the plume. The 2-D algorithm had a 60% to 90% success rate in reaching the source while certain versions of 3-D algorithm had success rates from 50% to 100%.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2006
Accession Number
ADA453580

Entities

People

  • Maynard J. Porter Iii

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Algorithms
  • Birds
  • Computational Science
  • Computer Simulations
  • Control Systems
  • Detection
  • Detectors
  • Lepidoptera
  • Pheromones
  • Stochastic Processes
  • Test And Evaluation
  • Three Dimensional
  • Two Dimensional
  • Unmanned Aerial Vehicles
  • Wind Tunnel Tests

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Remote Sensing.
  • Systems Analysis and Design

Technology Areas

  • Autonomy