Algorithms for Robust Identification and Control of Large Space Structures. Phase 1.

Abstract

A new method of providing robust attitude control for tracking and slewing maneuvers for large flexible space structures in orbit is developed, and preliminary analyses and performance studies are conducted. The key elements of the method are system identification inreal time, based on canonical variate analysis, and adaptive robust control using Model Predictive Control. The Canonical Variate Analysis method also possesses the built-in capability for performing statistically optimal model order reduction. Computational algorithms are developed using several low order flexible models. The results of this Phase I SBIR feasibility effort demonstrate that the new method is subject to careful design to reduce computer core size problems, but that its overall performance offers encouraging potential for more complete development. Keywords: Mathematical models, Computations. (KR)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 14, 1988
Accession Number
ADA198130

Entities

People

  • James V. Carroll

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Artificial Satellites
  • Computational Science
  • Computer Programs
  • Computers
  • Control Systems
  • Correlation Analysis
  • Differential Equations
  • Finite Element Analysis
  • Flight Control Systems
  • Mathematical Filters
  • Mathematical Models
  • Model Predictive Control
  • Multiple Input Multiple Output
  • Statistical Analysis
  • Stochastic Processes

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Robotics and Automation.
  • Statistical inference.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers