An effective flutter control method using fast, time-accurate CFD codes

Ominsky, D.; Ide, H.

doi:10.2514/6.1989-3468

Cited by 4 publications

(2 citation statements)

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“…The situation is further complicated due to the transonic dip, as demonstrated numerically by Isogai (21) . There have been a number of studies on the stability of a wing with active control surfaces in a transonic flow, with the aerodynamic loads being computed numerically by Batina and Yang (22) , Guruswamy et al (23) , Guruswamy and Tu (24) , Guruswamy (25) , Ominsky and Ide (26) , Bendiksen et al (27) , Silva and Bennett (28) , Stephens et al (29) and Djayapertapa and Allen (30,31) . Comparisons of the results of different computational approaches were provided by Edwards and Thomas (32) .…”

Section: Introductionmentioning

confidence: 99%

Synthesis of an active flutter suppression system in the transonic domain using a computational model

Vepa¹,

Kwon

2021

Aeronaut. j.

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Control laws for implementing active flutter suppression are generally derived from linear aeroelastic models. In this paper, families of control laws for implementing an active flutter suppression system were initially designed using linearised aeroelastic models based on the doublet lattice method after ignoring the aerodynamic loads associated with relatively faster time scales. Using these preliminary sets of control laws and the nonlinear transonic small disturbance theory, near-optimum control laws were chosen in the transonic domain to maximally increase the flutter speed of a typical aircraft wing by at least 16% or more. Thus it is shown that it is feasible to systematically design near-optimal control laws for active flutter suppression using computational models in transonic flow. The doublet lattice method coupled with the zeroth-order matrix Padé approximant provided the fastest method for synthesising a large number of preliminary control laws. The methodology was successfully demonstrated by applying it to two benchmarking examples.

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Section: Introductionmentioning

confidence: 99%

Synthesis of an active flutter suppression system in the transonic domain using a computational model

Vepa¹,

Kwon

2021

Aeronaut. j.

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show abstract

“…Refs. [13][14][15][16][17] are the other researches for transonic aeroservoelasticity. Similar to Batina, these studies also only involve varying the given feedback control laws to study the effect on stability of the aeroelastic system in which more complex structural model or aerodynamic models are used.…”

Section: Introductionmentioning

confidence: 99%