2017
DOI: 10.1103/physreve.95.062217
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Output-only parameter identification of a colored-noise-driven Van-der-Pol oscillator: Thermoacoustic instabilities as an example

Abstract: The problem of output-only parameter identification for nonlinear oscillators forced by colored noise is considered. In this context, it is often assumed that the forcing noise is white, since its actual spectral content is unknown. The impact of this white-noise forcing assumption upon parameter identification is quantitatively analyzed. First, a Van-der-Pol oscillator forced by an Ornstein-Uhlenbeck process is considered. Second, the practical case of thermoacoustic limit cycles in combustion chambers with t… Show more

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Cited by 45 publications
(40 citation statements)
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“…To complete the model, it is necessary to specify the heat release terms ξ i and g i . Regarding the first, it is possible to model this stochastic forcing as a white noise source [28].…”
Section: Low-order Modelmentioning
confidence: 99%
“…To complete the model, it is necessary to specify the heat release terms ξ i and g i . Regarding the first, it is possible to model this stochastic forcing as a white noise source [28].…”
Section: Low-order Modelmentioning
confidence: 99%
“…where p designates the acoustic pressure in the combustor, ω 0 the natural angular frequency (in the present case the one of the dominant eigenmode ψ 0 ), ν the linear growth rate, whose sign defines the linear stability of the system, κ a positive constant setting out the saturation of the thermoacoustic oscillations to a limit cycle, ξ(t) a gaussian white noise of intensity Γ that represents the stochastic forcing exerted by turbulence [46]. Given the fact that thermoacoustic instabilities in combustion chambers are usually characterized by |ν| ω 0 , there are two relevant time scales to the present problem, the fast time scale of the acoustic oscillation T 0 = 2π/ω 0 and the slow one T ν = 2π/ν associated with the amplitude dynamics, and one can therefore assume p(t) = A(t) cos (ω 0 t + ϕ(t)).…”
Section: Model and Identification Of Parametersmentioning
confidence: 99%
“…P∞(A; t = 0) = N A exp [4ω 2 0 /Γ(ν 0 A 2 /2 − κA 4 /32)], where ν 0 = ν(t = 0) and N is a normalization constant. See[46] for more details.…”
mentioning
confidence: 99%
“…Nonlinear wave processes are observed in a variety of engineering and physics applications such as acoustics [1,2], combustion noise [3,4], jet noise [5][6][7], thermoacoustics [8,9], surface waves [10], and plasmaphysics [11], requiring nonlinear evolution equations to describe the dynamics of perturbations. In the case of high amplitude planar acoustic wave propagation, two main nonlinear effects are present: acoustic streaming [2,12] and wave steepening [1,13].…”
Section: Introductionmentioning
confidence: 99%