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A simulation study of turbofan engine deterioration estimation using kalman filtering techniques
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Lambert, Heather H. |
| Copyright Year | 1991 |
| Description | Deterioration of engine components may cause off-normal engine operation. The result is an unecessary loss of performance, because the fixed schedules are designed to accommodate a wide range of engine health. These fixed control schedules may not be optimal for a deteriorated engine. This problem may be solved by including a measure of deterioration in determining the control variables. These engine deterioration parameters usually cannot be measured directly but can be estimated. A Kalman filter design is presented for estimating two performance parameters that account for engine deterioration: high and low pressure turbine delta efficiencies. The delta efficiency parameters model variations of the high and low pressure turbine efficiencies from nominal values. The filter has a design condition of Mach 0.90, 30,000 ft altitude, and 47 deg power level angle (PLA). It was evaluated using a nonlinear simulation of the F100 engine model derivative (EMD) engine, at the design Mach number and altitude over a PLA range of 43 to 55 deg. It was found that known high pressure turbine delta efficiencies of -2.5 percent and low pressure turbine delta efficiencies of -1.0 percent can be estimated with an accuracy of + or - 0.25 percent efficiency with a Kalman filter. If both the high and low pressure turbine are deteriorated, the delta efficiencies of -2.5 percent to both turbines can be estimated with the same accuracy. |
| File Size | 1187279 |
| Page Count | 50 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19910015833 |
| Archival Resource Key | ark:/13960/t76t5kc54 |
| Language | English |
| Publisher Date | 1991-06-01 |
| Access Restriction | Open |
| Subject Keyword | Aircraft Propulsion And Power Control Simulation Nonlinear Equations Subsonic Speed Engine Design Deterioration Turbofans Performance Prediction Engine Control Turbofan Engines Dynamic Models Kalman Filters Matrices Mathematics Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
