Identification of Control-Equivalent Turbulence Input (CETI) Models from Rotorcraft Simulations

This study introduces a structured methodology for identifying Control-Equivalent Turbulence Input (CETI) models using rotorcraft flight dynamics simulations. A new Moving Spatial Turbulence Field (MSTF) model was developed to generate input datasets, enabling CETI model identification for four distinct aircraft configurations: a generic utility helicopter resembling the H-60, and three small-scale multi-rotor UAS types—a quadcopter, hexacopter, and octocopter. The CETI models were validated in hover using frequency-domain analysis, with flight-derived CETI models serving as the benchmark. To further assess model performance in forward flight, CETI models for the H-60 were identified at airspeeds ranging from 0 to 140 knots in 40- knot increments. Results indicated that the MSTF-based CETI models for the H-60 effectively captured key spectral features of the flight-test data, though some deviations were observed, potentially due to variability in atmospheric conditions. In contrast, the CETI models for the multi-rotor UAS configurations showed closer alignment with flight data, likely reflecting more accurately captured atmospheric inputs during simulation. These findings highlight the promise of simulation-based CETI modeling for both rotorcraft and UAS, offering valuable insights into turbulence effects across diverse platforms and flight regimes.

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Publication Details

Published
2025-05-20
DOI
https://doi.org/10.4050/f-0081-2025-81
Primary Topic
Aerospace and Aviation Technology
Type
article
Field-Weighted Citation Impact
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article

Identification of Control-Equivalent Turbulence Input (CETI) Models from Rotorcraft Simulations

Linghai Lu, Giorgio Guglieri, Umberto Saetti, Marco Rinaldi et al.
1 links
Aerospace and Aviation Technology
article

Identification of Control-Equivalent Turbulence Input (CETI) Models from Rotorcraft Simulations

Linghai Lu, Giorgio Guglieri, Umberto Saetti, Marco Rinaldi, Tom Berger
article en

Abstract

This study introduces a structured methodology for identifying Control-Equivalent Turbulence Input (CETI) models using rotorcraft flight dynamics simulations. A new Moving Spatial Turbulence Field (MSTF) model was developed to generate input datasets, enabling CETI model identification for four distinct aircraft configurations: a generic utility helicopter resembling the H-60, and three small-scale multi-rotor UAS types—a quadcopter, hexacopter, and octocopter. The CETI models were validated in hover using frequency-domain analysis, with flight-derived CETI models serving as the benchmark. To further assess model performance in forward flight, CETI models for the H-60 were identified at airspeeds ranging from 0 to 140 knots in 40- knot increments. Results indicated that the MSTF-based CETI models for the H-60 effectively captured key spectral features of the flight-test data, though some deviations were observed, potentially due to variability in atmospheric conditions. In contrast, the CETI models for the multi-rotor UAS configurations showed closer alignment with flight data, likely reflecting more accurately captured atmospheric inputs during simulation. These findings highlight the promise of simulation-based CETI modeling for both rotorcraft and UAS, offering valuable insights into turbulence effects across diverse platforms and flight regimes.

Openalex Percentile: Top 78%
Aerospace and Aviation Technology
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Identification of Control-Equivalent Turbulence Input (CETI) Models from Rotorcraft Simulations — Linghai Lu, Giorgio Guglieri, et al. · (2025) | TGRS Research Map | TGRS