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Advances and Modern Applications of Frequency-Domain Aircraft and Rotorcraft System Identification
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This paper provides an overview of advances and applications of aircraft and rotorcraft flight dynamics system identification at the U.S. Army Combat Capabilities Development Command Aviation & Missile Center over the past 20 years. An overarching topic is how frequency-domain system identification has evolved to aid modeling work of modern aircraft and rotorcraft configurations. The paper starts with a brief overview of the frequency-response method for system identification. Subsequently, the paper highlights and demonstrates several new advances using flight-test data from a conventional helicopter, fixed-wing aircraft, advanced coaxial compound rotorcraft, and a small multirotor unmanned aerial vehicle. The first advancement is the use of identification results to improve simulation model fidelity. The next advancement is the Joint Input-Output Method for identification of aircraft with highly correlated inputs. Next, the paper discusses the advancement of flexible constraints, which provide the ability to directly determine physical parameters from flight-test data. The paper then discusses a methodology to identify lower-order linearized dynamic inflow models from higher-order free wake aerodynamic models. Finally, the paper discusses model stitching, which is the technique of combining or stitching together individual linear models and trim data for discrete flight conditions to produce a continuous, full flight-envelope real-time stitched simulation model.
American Institute of Aeronautics and Astronautics (AIAA)
Title: Advances and Modern Applications of Frequency-Domain Aircraft and Rotorcraft System Identification
Description:
This paper provides an overview of advances and applications of aircraft and rotorcraft flight dynamics system identification at the U.
S.
Army Combat Capabilities Development Command Aviation & Missile Center over the past 20 years.
An overarching topic is how frequency-domain system identification has evolved to aid modeling work of modern aircraft and rotorcraft configurations.
The paper starts with a brief overview of the frequency-response method for system identification.
Subsequently, the paper highlights and demonstrates several new advances using flight-test data from a conventional helicopter, fixed-wing aircraft, advanced coaxial compound rotorcraft, and a small multirotor unmanned aerial vehicle.
The first advancement is the use of identification results to improve simulation model fidelity.
The next advancement is the Joint Input-Output Method for identification of aircraft with highly correlated inputs.
Next, the paper discusses the advancement of flexible constraints, which provide the ability to directly determine physical parameters from flight-test data.
The paper then discusses a methodology to identify lower-order linearized dynamic inflow models from higher-order free wake aerodynamic models.
Finally, the paper discusses model stitching, which is the technique of combining or stitching together individual linear models and trim data for discrete flight conditions to produce a continuous, full flight-envelope real-time stitched simulation model.
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