Aircraft turbulence and gust identification using simulated in-flight data

Gust and turbulence events are of primary importance for the analysis flight incidents, design gust load alleviation systems calculation loads in airframe. cannot be measured directly but they can obtained through direct or optimisation-based methods. In method discretisation Fredholm Integral equation is associated with an ill conditioned matrix. this work effects regularisation methods including Tikhonov regularisation, Truncated Single Value Decomposition (TSVD), Damped (DSVD) a recently proposed using cubic B-spline functions evaluated aeroelastic identification data. The tested detailed model FFAST equivalent low-fidelity developed by authors. addition, accuracy required reliable discussed. Finally, based on simultaneously both models so that response from used as measurement data process.