New Adaptive Methods for Reconfigurable Flight Control Systems. Appendix 2.

Abstract

The report discusses methods for the design of reconfigurable flight control systems. Model reference adaptive control algorithms were developed which allow for the rapid identification of aircraft parameters after failures or damages and for automatic control redesign. These algorithms are simple enough that they can be implemented in real-time with existing computers. Simulation results were obtained using a detailed nonlinear model of a fighter aircraft. The results demonstrate the ability of the adaptive algorithms to automatically readjust trim values after failures, to restore tracking of the pilot commands despite the loss of actuator effectiveness and to coordinate the use of the remaining surfaces in order to maintain the decoupling between the rotational axes. The report also discusses analytical results that were obtained during the course of the research regarding the stability and convergence properties of multivariable adaptive control algorithms, the use of averaging methods for the analysis of transient response and robustness, and the estimation of uncertainty in dynamic models. A modified recursive least-squares algorithm with forgetting factor is also described which gives fast adaptation under normal conditions while keeping the sensitivity to noise limited when signal to noise ratios are poor.

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Document Details

Document Type
Technical Report
Publication Date
Feb 15, 1995
Accession Number
ADA293520

Entities

People

  • Marc Bodson

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms
  • C4I

DTIC Thesaurus Topics

  • Adaptive Control Systems
  • Adaptive Systems
  • Aircrafts
  • Algorithms
  • Closed Loop Systems
  • Computational Science
  • Computers
  • Control Systems
  • Differential Equations
  • Fighter Aircraft
  • Flight Control Systems
  • Frequency Domain
  • Linear Systems
  • Multiple Input Multiple Output
  • Nonlinear Systems
  • Simulations
  • Theorems

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Control Systems Engineering.