Control of Orbiting Large Space Structural Systems with Discrete Time Observational Data and Random Measurement Noise

Abstract

The objective of this research is to develop practical design procedures that can be used in conjunction with optimal digital controllers and estimators for future orbiting large space structural systems. In practice, observational data used to verify the orientation and shape of large flexible systems will, in general, be collected on a sampled basis (discrete time data system). Random noise is also included with such observational data. Systems which will be designed to control both the overall orientation as well as the shape of some of the subsystems (such as an antenna mesh form) must function in the discrete-time domain. The aim of this research is to develop methods that can be used to design linear quadratic Gaussian (LQG) controllers/estimators for orbiting large flexible systems. The digital control of an orbiting shallow shell antenna-type system, as well as flexible platform-type systems are examined. Keywords: Digital control; Large space structures; Random measurement noise; Kalman filter.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1990
Accession Number
ADA222476

Entities

People

  • Aprille J. Ericsson
  • Peter M. Bainum
  • Xing Guangqian

Organizations

  • Howard University

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Classification
  • Closed Loop Systems
  • Control Systems
  • Control Systems Engineering
  • Engineering
  • Engineers
  • Equations
  • Equations Of Motion
  • Equations Of State
  • Estimators
  • Kalman Filters
  • Large Space Structures
  • Measurement
  • Mechanical Engineering
  • Orientation (Direction)
  • Regulators
  • Space Systems

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Astronomy and Astrophysics.
  • Structural Dynamics.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers