Global optimization of actively morphing flapping wings

Ghommem, Mehdi; Hajj, Muhammad R.; Mook, Dean T.; Stanford, Bret; Beran, Philip S.; Snyder, Richard; Watson, Layne T.

doi:10.1016/j.jfluidstructs.2012.04.013

Cited by 70 publications

(70 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using second-order averaging, the flapping parameters P are required to satisfy Many researchers, including the authors, have used the intuitive, ubiquitous balancing methodology based on direct averaging, either for aerodynamic optimization (minimum power or maximum thrust with cycle-averaged lift equal to the weight) [40][41][42][43][44] or flight dynamics and control analyzes [3, 4, 6-9, 15, 27, 30]. However, the above result shows that such a methodology is not sufficient to ensure trim/ balance.…”

Section: Full Hovering Dynamics: Periodic Orbit Equilibriummentioning

confidence: 99%

The need for higher-order averaging in the stability analysis of hovering, flapping-wing flight

et al. 2015

View full text Add to dashboard Cite

Because of the relatively high flapping frequency associated with hovering insects and flapping wing micro-air vehicles (FWMAVs), dynamic stability analysis typically involves direct averaging of the time-periodic dynamics over a flapping cycle. However, direct application of the averaging theorem may lead to false conclusions about the dynamics and stability of hovering insects and FWMAVs. Higher-order averaging techniques may be needed to understand the dynamics of flapping wing flight and to analyze its stability. We use second-order averaging to analyze the hovering dynamics of five insects in response to high-amplitude, high-frequency, periodic wing motion. We discuss the applicability of direct averaging versus second-order averaging for these insects.

show abstract

Section: Full Hovering Dynamics: Periodic Orbit Equilibriummentioning

confidence: 99%

The need for higher-order averaging in the stability analysis of hovering, flapping-wing flight

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Further details on the UVLM implementation are provided in Ref. [18,19]. The wakes created behind the elastically mounted wing for two different flow configurations are plotted in Fig.…”

Section: Aerodynamic Modelmentioning

confidence: 99%

Aeroelastic analysis and nonlinear dynamics of an elastically mounted wing

Ghommem

Abdelkefi

Nuhait

et al. 2012

Journal of Sound and Vibration

View full text Add to dashboard Cite

“…The second technique is similar to that of Kurdi et al [16], in which the time variations of the kinematic functions were approximated by cubic splines and the amplitudes of the generalized coordinates at specific control points represented the design variables. Ghommem et al [14] adopted the same approaches using global and hybrid (global and gradientbased) optimization techniques.…”

Section: Introductionmentioning

confidence: 99%

Effects of aerodynamic modeling on the optimal wing kinematics for hovering MAVs

Yan

Taha

Hajj

2015

Aerospace Science and Technology

Self Cite

View full text Add to dashboard Cite

The effects of aerodynamic model assumptions on the optimal wing-kinematics for hovering microair-vehicles are determined. Specific kinematic functions for the wing motion are specified and the parameters of these functions are considered as the design variables for the optimization problem. Four aerodynamic models having different levels of fidelity that capture various physical aspects of hovering aerodynamics are considered to assess the effects of these different aspects on the optimal wing kinematics. These physical aspects include the leading edge vortex, rotational lift, non-circulatory contributions, and flow unsteadiness. Conventional models for pitching wings are not adequate as they predict considerably high rotational lift and too little power requirements, which makes the optimizer, unrealistically, leans toward almost pure rotational motion with little flapping. In addition, quasisteady modeling overestimates the generated lift and, as such, leads to a more optimal, but unrealistic, performance. Therefore efficient unsteady modeling is essential in design optimization of flapping-wing micro-air-vehicles.

show abstract

Global optimization of actively morphing flapping wings

Cited by 70 publications

References 34 publications

The need for higher-order averaging in the stability analysis of hovering, flapping-wing flight

The need for higher-order averaging in the stability analysis of hovering, flapping-wing flight

Aeroelastic analysis and nonlinear dynamics of an elastically mounted wing

Effects of aerodynamic modeling on the optimal wing kinematics for hovering MAVs

Contact Info

Product

Resources

About