Attitude Determination for the Three-Axis Spacecraft Simulator (TASS) by Application of Particle Filtering Techniques

Abstract

The accurate determination of spacecraft attitude has always been a critical issue in many applications. The presence of imperfect sensors introduces errors in the system and affects the outcome of the mission. One of the most significant sensors is the rate gyroscope. Particularly, the rate gyros are known to degrade with time, introducing random noise and bias. This calls for estimation algorithms which process the measured data in order to reduce the effects of the disturbances to a minimum. This research presents an approach which takes full advantage on the nonlinear dynamics and possibly non-Gaussian disturbances. It is based on recent work involving particle filters, where the probability density functions are approximated by a relatively large number of parameters. It is shown that accurate attitude estimation can be obtained with a manageable number of particles.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA435493

Entities

People

  • Ioannis Kassalias

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Coordinate Systems
  • Data Science
  • Differential Equations
  • Electrical Engineering
  • Equations Of State
  • Estimators
  • Information Science
  • Kalman Filtering
  • Kalman Filters
  • Navigation
  • Nonlinear Dynamics
  • Probability
  • Sequential Monte Carlo Methods
  • Statistical Analysis
  • Statistics

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Inertial Navigation Systems.
  • Systems Analysis and Design

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers