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Estimating short-period dynamics using an extended kalman filter
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Andrisani, Dominick Bauer, Jeffrey E. |
| Copyright Year | 1990 |
| Description | An extended Kalman filter (EKF) is used to estimate the parameters of a low-order model from aircraft transient response data. The low-order model is a state space model derived from the short-period approximation of the longitudinal aircraft dynamics. The model corresponds to the pitch rate to stick force transfer function currently used in flying qualities analysis. Because of the model chosen, handling qualities information is also obtained. The parameters are estimated from flight data as well as from a six-degree-of-freedom, nonlinear simulation of the aircraft. These two estimates are then compared and the discrepancies noted. The low-order model is able to satisfactorily match both flight data and simulation data from a high-order computer simulation. The parameters obtained from the EKF analysis of flight data are compared to those obtained using frequency response analysis of the flight data. Time delays and damping ratios are compared and are in agreement. This technique demonstrates the potential to determine, in near real time, the extent of differences between computer models and the actual aircraft. Precise knowledge of these differences can help to determine the flying qualities of a test aircraft and lead to more efficient envelope expansion. |
| File Size | 1179419 |
| Page Count | 40 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19900014076 |
| Archival Resource Key | ark:/13960/t25b51103 |
| Language | English |
| Publisher Date | 1990-01-01 |
| Access Restriction | Open |
| Subject Keyword | Aircraft Design, Testing And Performance Transient Response Degrees of Freedom Transfer Functions Estimating Aircraft Performance Computerized Simulation Parameter Identification Aircraft Control Real Time Operation Flight Characteristics X-29 Aircraft Controllability Kalman Filters State Estimation Nonlinear Systems Flight Simulation Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
