By Topic

Synthesis of robust control systems for a hypersonic aircraft

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Marrison, Christopher I. ; Dept. of Mech. & Aerosp. Eng., Princeton Univ., NJ, USA ; Stengel, R.F.

Stochastic robustness analysis is a flexible probabilistic framework for defining the robustness of control systems. Here, robust linear-quadratic-regulators are synthesized to control the nonlinear longitudinal dynamics of a hypersonic aircraft with uncertainties in 28 parameters. The compensators are designed using a genetic algorithm to search a design parameter space and Monte Carlo evaluation to define the robustness cost surface. The method is shown to produce control structures that satisfy nominal stability and performance goals, while minimizing robustness cost functions

Published in:

Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on  (Volume:4 )

Date of Conference:

14-16 Dec 1994