TY - GEN
T1 - Implementation and Linearization of a State-Space Free Wake Model with a Near-Wake Vortex Lattice Model
AU - Saetti, Umberto
AU - Cocco, Alessandro
AU - Manjhi, Ashish K.
AU - Horn, Joseph F.
N1 - Publisher Copyright:
Copyright © 2023 by the Vertical Flight Society. All rights reserved.
PY - 2023
Y1 - 2023
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 UH-60-like 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 Viscous Vortex Particle Method (VVPM) and accuracy improvements with respect to a state-space free-vortex wake model with tip vortex dynamics only are assessed. 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, and linearized models are obtained via system identification. 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 UH-60-like 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 Viscous Vortex Particle Method (VVPM) and accuracy improvements with respect to a state-space free-vortex wake model with tip vortex dynamics only are assessed. 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, and linearized models are obtained via system identification. 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.
UR - http://www.scopus.com/inward/record.url?scp=85167698499&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85167698499&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85167698499
T3 - FORUM 2023 - Vertical Flight Society 79th Annual Forum and Technology Display
BT - FORUM 2023 - Vertical Flight Society 79th Annual Forum and Technology Display
PB - Vertical Flight Society
T2 - 79th Vertical Flight Society Annual Forum and Technology Display, FORUM 2023
Y2 - 16 May 2023 through 18 May 2023
ER -