Donald C Simon

US Patent:

8386121, Feb 26, 2013

Filed:

Jun 2, 2010

Appl. No.:

12/791907

Inventors:

Donald L. Simon - Olmsted Falls OH, US
Sanjay Garg - Westlake OH, US

Assignee:

The United States of America as Represented by the Administrator of National Aeronautics and Space Administration - Washington DC

International Classification:

G01M 17/00

US Classification:

701 307, 701 291

Abstract:

A methodology for minimizing the error in on-line Kalman filter-based aircraft engine performance estimation applications is presented. This technique specifically addresses the underdetermined estimation problem, where there are more unknown parameters than available sensor measurements. A systematic approach is applied to produce a model tuning parameter vector of appropriate dimension to enable estimation by a Kalman filter, while minimizing the estimation error in the parameters of interest. Tuning parameter selection is performed using a multi-variable iterative search routine which seeks to minimize the theoretical mean-squared estimation error. Theoretical Kalman filter estimation error bias and variance values are derived at steady-state operating conditions, and the tuner selection routine is applied to minimize these values. The new methodology yields an improvement in on-line engine performance estimation accuracy.