Aerodynamic Parameter Estimation Using Reconstructed Turbulence Measurements

Grauer, Jared A.

doi:10.2514/1.c035933

Cited by 5 publications

(1 citation statement)

References 30 publications

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“…For other applications, power spectra could also be tailored to mimic the effects of measurement noise or turbulence (standard models or empirically determined), as in refs. [42,43]. In general, when sinusoids are combined into a multisine input, the phase angles can create large peaks in the multisine.…”

Section: Multisine Excitation Inputsmentioning

confidence: 99%

Frequency Response Estimation for Multiple Aircraft Control Loops Using Orthogonal Phase-Optimized Multisine Inputs

Grauer

2022

Processes

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The latest advances made at NASA for simultaneous excitation in multiple axes and the identification of frequency responses for aircraft flight systems are discussed in this paper. These techniques are extended in the prospect of identifying multiple dynamics and control loops for multiple axes. Recent applications with flight test data and simulation data are also presented, along with a discussion of the practical aspects of the approach. A demonstration is also provided, using a simulation model for the X-59 airplane in which frequency responses for the bare-airframe, closed-loop, and broken-loop (both for the actuator and the sensor) dynamics were identified from a single 60 s maneuver. The results indicate that this approach can significantly shorten the duration of flight tests and Monte Carlo simulations to save time and costs, and can produce results in real time.

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Section: Multisine Excitation Inputsmentioning

confidence: 99%

Frequency Response Estimation for Multiple Aircraft Control Loops Using Orthogonal Phase-Optimized Multisine Inputs

Grauer

2022

Processes

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System Identification Approach for eVTOL Aircraft Demonstrated Using Simulated Flight Data

Simmons

2023

Journal of Aircraft

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This paper describes a system identification method for electric vertical takeoff and landing (eVTOL) aircraft. The approach merges fixed-wing and rotary-wing modeling techniques with new strategies to develop a modeling method for eVTOL vehicles using flight-test data. The eVTOL aircraft system identification approach is demonstrated through application to the NASA Langley Aerodrome No. 8 tandem tilt-wing, distributed electric propulsion aircraft using a high-fidelity flight dynamics simulation. Orthogonal phase-optimized multisine inputs are applied to each control surface and propulsor at numerous flight conditions throughout the flight envelope to collect informative flight data. An aero-propulsive model is identified at each flight condition using the equation-error method in the frequency domain. The local model parameters are then blended to create a global model across the nominal flight envelope. The identified models are shown to provide a good fit to modeling data with good prediction capability. The methodology is developed with a discussion of unique eVTOL vehicle aerodynamic characteristics and practical strategies intended to inform future flight-based system identification efforts for eVTOL aircraft.

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Advances in Aircraft System Identification at NASA Langley Research Center

Morelli

Grauer

2023

Journal of Aircraft

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Advances in aircraft system identification at NASA Langley Research Center are discussed. The relevant time period includes the years since the last summary paper of this kind, which was published in the Journal of Aircraft in 2005. Research advances were achieved in flight test experiment design, frequency-domain modeling, real-time autonomous global modeling, rapid simulation development and updating, dynamic modeling in turbulence, flight data corrections, model uncertainty characterization, and aeroelastic modeling using distributed sensing. Possible future developments in the field are identified.

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Aerodynamic Parameter Estimation Using Reconstructed Turbulence Measurements

Cited by 5 publications

References 30 publications

Frequency Response Estimation for Multiple Aircraft Control Loops Using Orthogonal Phase-Optimized Multisine Inputs

Frequency Response Estimation for Multiple Aircraft Control Loops Using Orthogonal Phase-Optimized Multisine Inputs

System Identification Approach for eVTOL Aircraft Demonstrated Using Simulated Flight Data

Advances in Aircraft System Identification at NASA Langley Research Center

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