An Aerocapture Attitude Control Systems Incorporating Robustness and Vehicle Parameter Identification

Abstract

A candidate attitude control system design is presented for an aerocapture vehicle capable of a wide range of mass properties. The control system consists of three main elements: a robust control law based on the nonlinear sliding mode control techniques, a linear programming jet selection algorithm adaptable to changing mass properties, and a mass property identification algorithm based on an extended Kalman filter design. The mass property identification algorithm is capable of accurately estimating unknown and changing vehicle mass properties. The estimated mass properties are fed back to the control law and the jet selection algorithm, extending the range of mass properties for which the control system is robust. A principal contribution of this thesis is the integration of these main elements into a viable attitude control system. The control system is demonstrated for the Aeroassist Flight Experiment (AFE) vehicle via computer simulation.

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Document Details

Document Type
Technical Report
Publication Date
May 10, 1991
Accession Number
ADA243360

Entities

People

  • James R. Bell

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aerodynamic Forces
  • Air Force
  • Angular Acceleration
  • Attitude Control Systems
  • Computer Simulations
  • Control Systems
  • Differential Equations
  • Earth Orbits
  • Inertial Measurement Units
  • Kalman Filters
  • Linear Programming
  • Mathematical Models
  • Measurement
  • Nonlinear Systems
  • Simplex Method
  • Spacecraft
  • Three Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Control Systems Engineering.
  • Life Cycle Cost Analysis