2017 American Control Conference (ACC) 2017
DOI: 10.23919/acc.2017.7963382
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A blade element approach to modeling aerodynamic flight of an insect-scale robot

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Cited by 6 publications
(4 citation statements)
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“…represents the moment around the torsion ξ-axis due to the force component dF j , x j denotes the distance from the center of the force component dF j to the ξ-axis, and j denotes translational, rotational, added mass or inertial components. The location of the center of the aerodynamic forces in the chordwise direction is assumed to be a function of local AoA (θ) of the wing section (Dickson et al, 2006(Dickson et al, , 2008Whitney and Wood, 2010;Clawson et al, 2017). Its position from the LE of the wing, d(θ)=c[(0.82/π)|θ|+0.05], is determined using experimental data obtained from a study by Dickson et al (2006).…”
Section: Wing Kinematics Analysismentioning
confidence: 99%
“…represents the moment around the torsion ξ-axis due to the force component dF j , x j denotes the distance from the center of the force component dF j to the ξ-axis, and j denotes translational, rotational, added mass or inertial components. The location of the center of the aerodynamic forces in the chordwise direction is assumed to be a function of local AoA (θ) of the wing section (Dickson et al, 2006(Dickson et al, , 2008Whitney and Wood, 2010;Clawson et al, 2017). Its position from the LE of the wing, d(θ)=c[(0.82/π)|θ|+0.05], is determined using experimental data obtained from a study by Dickson et al (2006).…”
Section: Wing Kinematics Analysismentioning
confidence: 99%
“…For such spanwise varying wing geometry, the flow is expected to be fully three dimensional. On the other hand, Clawson et al [28] have reported flapping wing aerodynamics with a similar blade element approach without a three-dimensional correction. Their aerodynamic model agrees well with a series of experimental flight data, further suggesting that three-dimensional effects may not always be a dominant factor in flapping wing aerodynamics.…”
Section: Unsteady Aerodynamicsmentioning
confidence: 99%
“…where x ∈ R n is the state, u ∈ R m is the control input, p ∈ R l is a vector of parameters, and x 0 is the initial condition [15][16][17][18][19][20][21][23][24][25][38][39][40][41]51,52,65,66]. A key feature that led to some of the first successful FWMAV flights is that the robot is minimally actuated to meet stringent size and weight constraints [26,39].…”
Section: Problem Formulationmentioning
confidence: 99%
“…Although many flapping-wing flight models have been proposed in the literature [16,23,24,[37][38][39][40][41][42][43][44][45][46][47][48][49], methods for capturing the robot six-degree-of-freedom dynamics typically assume negligible wing inertia [15,16,39]. Other methods derive new aerodynamic forces and moments that capture unsteady flow effects on the wings by assuming symmetric flapping and pure longitudinal or hovering flight [19,24,25,42,47,[50][51][52][53].…”
mentioning
confidence: 99%