Development of a nonlinear indicial model for maneuvering fighter aircraft

Reisenthel, Patrick

doi:10.2514/6.1996-896

Cited by 36 publications

(21 citation statements)

References 10 publications

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“…Provided that the nonlinear indicial functions φ L and φ M are considered to be functionals, in the sense of their dependence on the downwash w(ς) taken as a function of the entire motion history, 7,8 that is, φ ≡ φ(w(ς); τ, σ ), C L (τ ) and C M (τ ) can be expressed as…”

Section: Nonlinear Indicial Function Modelingmentioning

confidence: 99%

“…6 In contrast to the linear indicial approach where the unsteady loads can be expressed in the time domain via the Duhamel's superposition principle, in the transonic flowfield that involves arbitrary time variation of the angle of attack and/or inflow velocity, a generalized Duhamel's superposition principle should be used. 7,8 Within the approach developed here, a formulation based on nonlinear indicial functions for the transonic unsteady aerodynamics is presented.…”

Section: Introductionmentioning

confidence: 99%

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Generalized Transonic Unsteady Aerodynamics via Computational-Fluid-Dynamics/ Indicial Approach.

et al. 2005

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Nomenclature b= half-chord length, m C L , C M = lift and moment coefficients in concentrated form; Eq.(1) C Lα , C Mα ; C Lq , C Mq = lift and moment coefficients caused by a change in the angle of attack and in the pitch rate, respectively; Eq. (6) C lα = lift-curve slope, 1/rad h, α = plunging displacement (m) and the twist angle (rad) about the pitch axis, respectively L , M = unsteady lift per unit length, N/m, and moment per unit length, N, respectively q = pitch rate about the reference axis (≡ 2bα/U ∞ = 2α ) t, τ = time variable (s) and its dimensionless counterpart (≡ U ∞ t/b), respectively U ∞ = freestream speed, m/s ρ ∞ = air density, kg/(m s 2 ) ς = parameter denoting dependence on prior motion history φ L , φ M = aerodynamic indicial lift and moment functions in concentrated form; Eqs. (2) and (3) φ α , φ Mα ; φ q , φ Mq = indicial functions in concentrated form; Eq. (6) ω, k = circular and reduced frequencies (≡ ωb/U ∞ )

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Section: Nonlinear Indicial Function Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Generalized Transonic Unsteady Aerodynamics via Computational-Fluid-Dynamics/ Indicial Approach.

et al. 2005

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“…Attempts to address the problem of high computational cost include the development of transonic indicial (aerodynamic) responses [51,68,79]. Transonic indicial (step) responses are responses due to a step excitation of a particular input, such as angle of attack, about a transonic (or nonlinear) steady state condition.…”

Section: Introductionmentioning

confidence: 99%

“…More recently, Marzocca et al [60] have analytically derived indicial functions for three-dimensional wings in compressible flow. Neural networks have also been used to develop nonlinear models of unsteady aerodynamics [56,57] and nonlinear models of maneuvers (using an experimental database) [79]. Neural networks and Volterra series have some similarities, since each involves the characterization of a system via an input-output mapping [31,56].…”

Section: Introductionmentioning

confidence: 99%

Identification of Nonlinear Aeroelastic Systems Based on the Volterra Theory: Progress and Opportunities

Silva

2005

Nonlinear Dyn

180

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The identification of nonlinear aeroelastic systems based on the Volterra theory of nonlinear systems is presented. Recent applications of the theory to problems in computational and experimental aeroelasticity are reviewed. Computational results include the development of computationally efficient reduced-order models (ROMs) using an Euler/Navier-Stokes flow solver and the analytical derivation of Volterra kernels for a nonlinear aeroelastic system. Experimental results include the identification of aerodynamic impulse responses, the application of higher-order spectra (HOS) to wind-tunnel flutter data, and the identification of nonlinear aeroelastic phenomena from flight flutter test data of the active aeroelastic wing (AAW) aircraft.

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“…The Volterra series, which is a subset of the nonlinear functional expansion shown in the formula (3) [7], is often referred to as the Taylor series with memory. Usually, the truncated form of Eq.…”

Section: Convolution Of Higher-order Kernels For Nonlinear Analysismentioning

confidence: 99%

Modelling of nonlinear bridge aerodynamics and aeroelasticity: a convolution based approach

Kareem

2012

MATEC Web of Conferences

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Abstract. Innovative bridge decks exhibit nonlinear behaviour in wind tunnel studies which has placed increasing importance on the nonlinear bridge aerodynamics/aeroelasticity considerations for long-span bridges. The convolution scheme concerning the first-order kernels for linear analysis is reviewed, which is followed by an introduction to higher-order kernels for nonlinear analysis. A numerical example of a longspan suspension bridge is presented that demonstrates the efficacy of the proposed scheme.

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Development of a nonlinear indicial model for maneuvering fighter aircraft

Cited by 36 publications

References 10 publications

Generalized Transonic Unsteady Aerodynamics via Computational-Fluid-Dynamics/ Indicial Approach.

Generalized Transonic Unsteady Aerodynamics via Computational-Fluid-Dynamics/ Indicial Approach.

Identification of Nonlinear Aeroelastic Systems Based on the Volterra Theory: Progress and Opportunities

Modelling of nonlinear bridge aerodynamics and aeroelasticity: a convolution based approach

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