Principles of Helicopter Aerodynamics

By J. Leishman. 2000

2,355 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3c21e68088b176d521d127a4dc358f6fa6d41fca

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Citations in the corpus

Advanced closed loop visual navigation for micro aerial vehicles (2014, unknown): “wind and drift (Leishman, 2006, pg. 25).”
Thrust Control for Multirotor Aerial Vehicles (2017, methodology): “105], although the nature of the high disc loading model is not considered by Leishman as it is not relevant to the helicopter rotors discussed [18].”
Flapping flight for biomimetic robotic insects: part II-flight control design (2006, methodology): “Moreover, when the helicopter moves forward, the blade is advancing on one side and retreating on the opposite side; the blade on the advancing side experiences a larger flow, while the one on the retreating side experiences a smaller or even reverse flow, thus causing lateral imbalance and instabil”
Separation Control Using Plasma Actuators: Dynamic Stall Vortex Control on Oscillating Airfoil (2006, background): “The actuator-off case has the characteristic shape observed by others [31].”
Modelling and control of a quad-rotor robot (2006, background): “…B i , are: u 1si = 1 1 − µ 2 ri 2 µ ri (4θ t − 2λ i ) (18) v 1si = 1 1 + µ 2 ri 2 4 3 C T σ 2 3 µ ri γ a + µ ri (19) respectively, where λ i is the non-dimensionalised inflow of the ith rotor, approximated by λ i = C T /2 (20) and γ is the Lock Number [Leishman, 2006] : γ = ρa 0 cr 4 I b (21)”
The Navigation and Control technology inside the AR.Drone micro UAV (2011, methodology): “The algorithms implements the methodology described in Lucas and Kanade [1981], and uses a kernel to smooth spatial and temporal derivatives, following Horn and Schunck [1993].”
Applications of the unsteady vortex-lattice method in aircraft aeroelasticity and flight dynamics (2012, background): “Implementing dissipation models has also been tried [69, 95], but consideration must be given to conservation of circulation issues.”
A simple learning strategy for high-speed quadrocopter multi-flips (2010, background): “Various aerodynamic effects such as vortex-ring-state, translational lift and blade flapping, among others become significant if not dominant at rotor descent and translation speeds comparable to the induced wind speed [2], [ 9 ].”
Full control of a quadrotor (2007, methodology): “The aerodynamic forces and moments are derived using a combination of momentum and blade element theory [9].”
Learning vehicular dynamics, with application to modeling helicopters (2005, methodology): “Although this work was motivated by the problem of modeling helicopters, the ideas presented here are general, and can be applied to modeling large classes of vehicular dynamics.”
Adaptive Control of Quadrotor UAVs: A Design Trade Study With Flight Evaluations (2013, background): “The first known quadrotor flight was in the 1920s [1], but due to the difficulty of controlling four motors simultaneously with sufficient bandwidth, the project was abandoned.”
Dynamics and Instabilities of Vortex Pairs (2016, background): “Helical vortex systems have recently regained interest in the context of rotor wake aerodynamics (Vermeer et al. 2003, Leishman 2006, Felli et al. 2011).”
Three‐time scale singular perturbation control and stability analysis for an autonomous helicopter on a platform (2013, background): “the helicopter is mounted, y1MIN < y1 < y1MAX ; the vertical velocity limitations for the descent phase are defined by the velocity at which the effects of vertical velocity cannot be neglected, which can be approximated by the induced velocity of the helicopter at the rotor disk in the hover flight”