Solving an Inverse Control Problem using Predictive Methods

Abstract

Model Predictive Control is the class of control methods that optimizes a specified performance index in order to minimize the weighted future output deviations from a setpoint trajectory. This thesis applies MPC in the inverse sense -- known aircraft outputs are applied in the performance index as setpoints in an attempt to determine what control histories caused those outputs. Using this method, aircraft mishap investigators could then have a means of determining what the control surface deflections were throughout an incident since Flight Data Recorder data does not include control surface deflections. The actual Flight Data Recorder data from aircraft mishaps are utilized as proof of concept.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1999
Accession Number
ADA361653

Entities

People

  • Chad J. Davis

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Accidents
  • Air Force
  • Aircraft Models
  • Aircrafts
  • Airframes
  • Algorithms
  • Computer Programs
  • Control Surfaces
  • Deflection
  • Engineering
  • Flight Recorders
  • Inverse Problems
  • Jet Transport Aircraft
  • Mathematical Models
  • Model Predictive Control
  • Recording Systems
  • Transport Aircraft

Fields of Study

  • Physics

Readers

  • Aviation Science / Aeronautics.
  • Control Systems Engineering.
  • Regression Analysis.