An application of eigenspace methods to symmetric flutter suppressionAn eigenspace assignment approach to the design of parameter insensitive control laws for linear multivariable systems is presented. The control design scheme utilizes constrained optimization techniques to exploit the flexibility in eigenvector assignments to reduce control system sensitivity to changes in system parameters while maintaining performance requirements; it thus provides a systematic approach for choosing values for eigensystem design variables. The methods involve use of the singular value decomposition to provide an exact description of allowable eigenvectors in terms of a minimum number of 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. Numerical results indicate that the methods provide feedback control laws that make the stability of the nominal closed loop systems less sensitive to changes in dynamic pressure, while maintaining acceptable control power and robustness constraints.
Document ID
19880062977
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Fennell, Robert E. (Clemson University SC, United States)
Adams, William M., Jr. (NASA Langley Research Center Hampton, VA, United States)
Christhilf, David M. (PRC Kentron Hampton, VA, United States)
Date Acquired
August 13, 2013
Publication Date
January 1, 1988
Subject Category
Aircraft Stability And Control
Report/Patent Number
AIAA PAPER 88-4099
Meeting Information
Meeting: AIAA Guidance, Navigation and Control Conference