Aerodynamic system identification of nonlinear rudder characteristics based on flight test data

1998 ◽  
Author(s):  
Hans-Christoph Oelker ◽  
Holger Friehmelt
Keyword(s):  
System Identification ◽  
Test Data ◽  
Flight Test

scholarly journals Identification of Aeroelastic Models for the X-56A Longitudinal Dynamics Using Multisine Inputs and Output Error in the Frequency Domain

Aerospace ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 24 ◽  
Author(s):  
Jared Grauer ◽  
Matthew Boucher
Keyword(s):  
System Identification ◽  
Test Data ◽  
Flight Control ◽  
Fourier Transforms ◽  
Flight Dynamics ◽  
Flight Test ◽  
Multiple Control ◽  
Output Error ◽  
Short Period ◽  
Flight Dynamics Model

System identification from measured flight test data was conducted using the X-56A aeroelastic demonstrator to identify a longitudinal flight dynamics model that included the short period, first symmetric wing bending, and first symmetric wing torsion modes. Orthogonal phase-optimized multisines were used to simultaneously excite multiple control effectors while a flight control system was active. Non-dimensional stability and control derivatives parameterizing an aeroelastic model were estimated using the output-error approach to match Fourier transforms of measured output response data. The predictive capability of the identified model was demonstrated using other flight test data with different inputs and at a different flight conditions. Modal characteristics of the identified model were explored and compared with other predictions. Practical aspects of the experiment design and system identification analysis, specific to flexible aircraft, are also discussed. Overall, the approach used was successful for identifying aeroelastic flight dynamics models from flight test data.

Calibration of a Subscale F/A-22 Engine Inlet Empirical Model Using Ground and Flight Test Data

2006 ◽  
Author(s):  
Jeffrey F. Monaco ◽  
David S. Kidman ◽  
Randall L. Bickford ◽  
Donald J. Malloy
Keyword(s):  
Parameter Estimation ◽  
System Identification ◽  
Modeling And Simulation ◽  
Real Time ◽  
Air Force ◽  
Test Data ◽  
Model Updating ◽  
Flight Test ◽  
Simulation Tools ◽  
Identification Parameter

The US Air Force’s two main aeropropulsion test centers, Arnold Engineering Development Center and the Air Force Flight Test Center, are developing a common suite of modeling and simulation tools employing advanced predictive modeling technologies. This common set of modeling and simulation tools incorporates real-time data validation, system identification, parameter estimation model calibration, and automated model updating as new test results or operational data become available. The expected benefit is improved efficiency and accuracy for online diagnostic monitoring of Air Force assets. These resultant models could also be used for flight manual development, determining compliance to specifications, or to aid in real-time equipment monitoring. This paper describes the integrated approach to system identification, parameter estimation, and model updating. Implementation of a software package to enable efficient model handoff between test groups and centers is discussed. An F/A-22 inlet model is used to demonstrate the approach. Compact polynomial function models of the distortion and recovery flow descriptors and 40-probe pressure values are derived from quasi-steady and instantaneous subscale wind tunnel data. The model parameters are then calibrated with F/A-22 flight test data. Results show that the modeling algorithm captures the relevant nonlinear physics of the application, and the calibration and updating procedure improves the model match to flight data. A companion paper provides preliminary results from integrating the calibrated total-pressure inlet distortion and recovery models into a real-time equipment health monitoring system to support test operations.

System Identification of a Subscale Generic Future Fighter Using Flight Test Data

2022 ◽  
Author(s):  
Leonardo Nepomuceno ◽  
Clécio Fischer ◽  
Maurício A. Morales ◽  
Roberto G. da Silva
Keyword(s):  
System Identification ◽  
Test Data ◽  
Flight Test

scholarly journals Application of System Identification Techniques to Tejas Flight Test Data

2013 ◽  
Vol 5 (1) ◽  
pp. 11-18 ◽  
Author(s):  
Jatinder Singh ◽  
Amitabh Saraf ◽  
Vijay Patel ◽  
Basappa ◽  
Sachin Tharewal
Keyword(s):  
System Identification ◽  
Test Data ◽  
Flight Test ◽  
Identification Techniques
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