By Topic

The residue identification algorithm and constrained least squares applied to space shuttle main engine data

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
$31 $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)
Bartholomew, D.L. ; Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA ; Irwin, D.

The residue identification algorithm (RID) is applied to flight data taken from the space shuttle main engine (SSME). Given spectral estimates of the SSME test data and the poles of the system, RID calculates a model of the spectral quantities using a least-squares technique. Application of RID to an SSME spectral estimate is shown. RID is also modified to use constrained least squares (CLS) instead of least squares. This technique is used to obtain models which more tightly fit the data within a user specified frequency range. A contrived example using RID with CLS is included to illustrate the advantages of using this method

Published in:

System Theory, 1993. Proceedings SSST '93., Twenty-Fifth Southeastern Symposium on

Date of Conference:

7-9 Mar 1993