AIAA Atmospheric Flight Mechanics Conference 2012
DOI: 10.2514/6.2012-4641
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Real-Time Frequency Response Estimation Using Joined-Wing SensorCraft Aeroelastic Wind-Tunnel Data

Abstract: A new method is presented for estimating frequency responses and their uncertainties from wind-tunnel data in real time. The method uses orthogonal phase-optimized multisine excitation inputs and a recursive Fourier transform with a least-squares estimator. The method was first demonstrated with an F-16 nonlinear flight simulation and results showed that accurate short period frequency responses were obtained within 10 seconds. The method was then applied to wind-tunnel data from a previous aeroelastic test of… Show more

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Cited by 5 publications
(3 citation statements)
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“…. , n y and k ∈ K j [2,[46][47][48]. Note that, similar to the Fourier transforms, the frequency responses are only computed at the harmonic frequencies of the respective input because those are the only frequencies at which the input-output data have sufficient information.…”
Section: Direct Approach For Estimating Frequency Responsesmentioning
confidence: 99%
“…. , n y and k ∈ K j [2,[46][47][48]. Note that, similar to the Fourier transforms, the frequency responses are only computed at the harmonic frequencies of the respective input because those are the only frequencies at which the input-output data have sufficient information.…”
Section: Direct Approach For Estimating Frequency Responsesmentioning
confidence: 99%
“…The recursive discrete Fourier transform has been applied successfully in flight tests and in wind-tunnel tests for real-time dynamic modeling in the frequency domain 5,20,22,[26][27][28][29][30][31][32][33] .…”
Section: F Recursive Discrete Fourier Transformmentioning
confidence: 99%
“…The combination of orthogonal optimized multisines and Eq. (36) has been applied successfully in wind tunnel tests with many inputs and outputs 29 , and in flight tests 27,28,[30][31][32][33] to efficiently compute frequency responses from time series data. This general approach is also the basis of effective methods for real-time frequency response estimation, both in the time domain 27 , and in the frequency domain [28][29][30][31][32][33] .…”
Section: Figure 18 Longitudinal Optimized Multisine Datamentioning
confidence: 99%