Accession Number:

ADA361653

Title:

Solving an Inverse Control Problem using Predictive Methods

Descriptive Note:

Master's thesis

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSONAFB OH SCHOOL OF ENGINEERING

Personal Author(s):

Report Date:

1999-05-01

Pagination or Media Count:

74.0

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.

Subject Categories:

  • Flight Control and Instrumentation
  • Transport Aircraft

Distribution Statement:

APPROVED FOR PUBLIC RELEASE