Evaluation of the Haltere as a Biologically-Inspired Inertial Rate Sensor

Abstract

Since as early as the 1940's, specialized structures on dipteran insects have been recognized as necessary for inertial measurement associated with basic flight stability. These structures, called halteres, have been suggested to act as vibrating structure gyroscopes, measuring strains proportional to Coriolis accelerations. As a miniature, robust means for stabilizing flight, this biological inertial measurement system is not only of interest to biologists, but also to designers of biomimetic robotic systems. However, the accuracy with which a pair of halteres can reconstruct the full body rate vector had not been clearly ascertained in previous studies. In addition, only one potential mechanism to decouple the rate components, using frequency decomposition of the haltere mechanical response, has been generally adopted. The purpose of this paper is to present an evaluation of the halteres as a rate measurement sensor through dynamic simulation of the halteres across a full range of body angular rates. Based on this analysis, a simple alternative mechanism is proposed for decoupling the body rate components, and, assuming the use of this proposed mechanism, an error analysis is presented for the halteres as a three dimensional linear rate measurement system.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2009
Accession Number
ADA495538

Entities

People

  • J. E. Evers
  • M F Wehling
  • R. A. Thompson
  • W. E. Dixon

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Engineered Resilient Systems
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Coordinate Systems
  • Diptera
  • Drosophila
  • Equations Of Motion
  • Error Analysis
  • Errors
  • Frequency
  • Geometry
  • Gyroscopes
  • Measurement
  • Military Research
  • Resonant Frequency
  • Simulations
  • Steady State
  • Three Dimensional

Readers

  • Inertial Navigation Systems.
  • Robotics and Automation.
  • Structural Dynamics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Autonomy
  • Biotechnology