TY - GEN
T1 - Implementation and Linearization of a State-Space Free Wake Model with a Near-Wake Vortex Lattice Model
AU - Saetti, Umberto
AU - Bugday, Batin
AU - Cocco, Alessandro
AU - Manjhi, Ashish K.
AU - Horn, Joseph F.
N1 - Publisher Copyright:
Copyright © 2024 by the Vertical Flight Society. All rights reserved.
PY - 2024
Y1 - 2024
N2 - This paper describes the implementation and linearization of a state-space free-vortex wake model with a near-wake vortex lattice model as applied to a helicopter rotor. Following a detailed mathematical description, the wake model is implemented for a blade element model of a utility helicopter rotor and tested in multiple flight conditions including hover, forward flight, and vortex ring state (VRS), and for simple control inputs. The model is verified against a Vortex Particle Method (VPM) and experimental data. Periodic solutions to the wake model are found by time marching the coupled rotor and vortex wake dynamics for the operating conditions mentioned above. Next, linearized harmonic decomposition models are obtained and validated against nonlinear simulations. Order reduction methods are explored to guide the development of linearized wake models that provide increased runtime performance compared to the nonlinear and linearized harmonic decomposition wake models while guaranteeing satisfactory prediction of the periodic response of the wake.
AB - This paper describes the implementation and linearization of a state-space free-vortex wake model with a near-wake vortex lattice model as applied to a helicopter rotor. Following a detailed mathematical description, the wake model is implemented for a blade element model of a utility helicopter rotor and tested in multiple flight conditions including hover, forward flight, and vortex ring state (VRS), and for simple control inputs. The model is verified against a Vortex Particle Method (VPM) and experimental data. Periodic solutions to the wake model are found by time marching the coupled rotor and vortex wake dynamics for the operating conditions mentioned above. Next, linearized harmonic decomposition models are obtained and validated against nonlinear simulations. Order reduction methods are explored to guide the development of linearized wake models that provide increased runtime performance compared to the nonlinear and linearized harmonic decomposition wake models while guaranteeing satisfactory prediction of the periodic response of the wake.
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M3 - Conference contribution
AN - SCOPUS:85196733170
T3 - Vertical Flight Society 80th Annual Forum and Technology Display
BT - Vertical Flight Society 80th Annual Forum and Technology Display
PB - Vertical Flight Society
T2 - 80th Annual Vertical Flight Society Forum and Technology Display, FORUM 2024
Y2 - 7 May 2024 through 9 May 2024
ER -