The Design of an Adaptive Attitude Control System

Abstract

This research designed and simulated an adaptive attitude control system for the Crew Equipment/Retriever (CER) during autonomous attitude hold and large angle or slewing maneuvers. The CER is a proposed space robot that deploys from the Space Station and retrieves any lost equipment or incapacitated astronauts. The moment of inertia tensor for the CER and acquired target is not known a priori. In this research, the moment of inertia tensor is estimated by a Kalman filter and used to update the derived linear quadratic regulator (LQR) and quaternion feedback regulator (QFR) control laws. Computer simulation results show that during attitude hold the adaptive LQR design stabilizes the CER and provides a more fuel efficient controller effort: as compared with a previously designed nonadaptive minimum time controller and a nonadaptive LQR design. Computer simulation results of slewing maneuvers show that the adaptive QFR design provides a more fuel efficient controller: as compared with a nonadaptive QFR design.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1992
Accession Number
ADA257632

Entities

People

  • Nicholas F. Russo

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Adaptive Control Systems
  • Algorithms
  • Attitude Control Systems
  • Closed Loop Systems
  • Computational Science
  • Computer Simulations
  • Computers
  • Control Systems
  • Control Systems Engineering
  • Differential Equations
  • Filters
  • Kalman Filters
  • Measurement
  • Moment Of Inertia
  • Simulations
  • Space Stations
  • Spacecraft

Readers

  • Life Cycle Cost Analysis
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control
  • Space
  • Space - Spacecraft Maneuvers