Kalman Filtering and the Attitude Determination and Control Task

Abstract

The attitude determination and control subsystem requirements or various payloads on the FalconSAT 3 satellite are stringent enough to demand some type or data processing in order to meet attitude determination requirements. This paper details one data filter, the Kalman filter, and more specifically, the 7-state and 6-state Kalman filters. Both filters prove to meet the attitude determination requirements successfully with little difference in achieved accuracy. However, the 6-state filter places much less computational demand upon the on-board computer. Based upon this data, the 6-state filter is a more logical choice for the FS3 attitude determination and control subsystem filter. However, there is still much analysis that needs to be completed before a final verdict might be reached. This paper examines both of these Kalman filters from a theoretical standpoint before examining practical implementation and concerns therein.

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Document Details

Document Type
Technical Report
Publication Date
Sep 07, 2004
Accession Number
ADA430928

Entities

People

  • Maarten J. Meerman
  • Matthew J. Hale
  • Paul Vergez
  • Yoshi Hashida

Organizations

  • United States Air Force Academy

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Algorithms
  • Artificial Satellites
  • Astronautics
  • Data Processing
  • Estimators
  • Filters
  • Filtration
  • Kalman Filtering
  • Kalman Filters
  • Mathematics
  • Measurement
  • Payload
  • Satellite Orbits
  • Space Systems
  • Spacecraft

Readers

  • Inertial Navigation Systems.
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • Space
  • Space - Satellites
  • Space - Spacecraft Maneuvers