Calculating Aircraft Controllability Quality.

Abstract

A quantitative measure of linear system controllability quality was developed, implemented in a software program, and demonstrated through a preliminary evaluation of an experimental aircraft flight control system. A linear state space representation of aircraft perturbation motion was used as the differential constraint equation for a quadratic cost functional which minimizes the control energy required to reach a specified final state. The singular value decomposition of the controllability Grammian, which appears in the solution to this optimal control problem, yields a unique time-varying, orthogonal set of basis vectors which are ranked by the control energy required to move the linear system along each vector. The experimental flight control system consists of variable incidence wingtips acting as elevons and rudders, used on a supersonic-cruise light-weight fighter. The evaluation included both comparison of basis vector sets between baseline and modified aircraft and direct comparison of the control magnitudes required to reach sample final states. Results show the experimental controls are unsuitable due to: (1) poor longitudinal and lateral control power, (2) no yaw/rudder control available due to symmetry restrictions in the linear aerodynamics software.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1979
Accession Number
ADA115549

Entities

People

  • John M. Yarger

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Aerodynamic Control Surfaces
  • Aeronautical Engineering
  • Air Force
  • Aircrafts
  • Airplanes
  • Calculus Of Variations
  • Computer Programs
  • Computers
  • Control Surfaces
  • Control Systems
  • Eigenvalues
  • Engineering
  • Equations
  • Equations Of Motion
  • Flight Control Systems
  • Linear Systems
  • Time Intervals

Fields of Study

  • Physics

Readers

  • Aerodynamics/Aeronautics.
  • Control Systems Engineering.
  • Regression Analysis.

Technology Areas

  • Hypersonics
  • Space
  • Space - Spacecraft Maneuvers