Loading...
Please wait, while we are loading the content...
Similar Documents
Optimal tuner selection for kalman filter-based aircraft engine performance estimation
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Garg, Sanjay Simon, Donald L. |
| Copyright Year | 2010 |
| Description | A linear point design 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. This paper derives theoretical Kalman filter estimation error bias and variance values at steady-state operating conditions, and presents the tuner selection routine applied to minimize these values. Results from the application of the technique to an aircraft engine simulation are presented and compared to the conventional approach of tuner selection. Experimental simulation results are found to be in agreement with theoretical predictions. The new methodology is shown to yield a significant improvement in on-line engine performance estimation accuracy |
| File Size | 1011921 |
| Page Count | 20 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20100006914 |
| Archival Resource Key | ark:/13960/t9r25xm1d |
| Language | English |
| Publisher Date | 2010-01-01 |
| Access Restriction | Open |
| Subject Keyword | Aircraft Propulsion And Power Mean Square Values Error Analysis Simulation Gas Turbine Engines Performance Prediction On-line Systems Kalman Filters Steady State Tuning Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
