An Application of Eigenspace Methods to Symmetric Flutter Suppression.

Abstract

An eigenspace assignment approach to the design of parameter insensitive control laws for linear multivariable systems is presented. The control design scheme utilizes flexibility in eigenvector assignments to reduce control system sensitivity to changes in system parameters. The methods involve use of the singular value decomposition to provide an exact description of allowable eigenvectors in terms of a minimum number or design parameters. In a design example, the methods are applied to the problem of symmetric flutter suppression in an aeroelastic vehicle. In this example the flutter mode is sensitive to changes in dynamic pressure and eigenspace methods are used to enhance the performance of a stabilizing minimum energy/linear quadratic regulator controller and associated observer. Results indicate that the methods provide feedback control laws that make stability of the nominal closed loop systems insensitive to changes in dynamic pressure. Keywords: Stabilization; Eigenspace methods; Flutter suppression.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1988
Accession Number
ADA192758

Entities

People

  • Robert E. Fennell

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Bending Moments
  • Closed Loop Systems
  • Compensators
  • Complex Numbers
  • Complex Variables
  • Contracts
  • Control Systems
  • Decomposition
  • Dynamic Pressure
  • Eigenvalues
  • Eigenvectors
  • Feedback
  • Linear Systems
  • Observers
  • Sensitivity
  • Transfer Functions
  • Vector Spaces

Fields of Study

  • Physics

Readers

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