Propulsion optimization of a quadcopter in forward state

Ye, Jianchuan; Wang, Jiang; Song, Tao; Zhu, Yifei; Wu, Zeliang; Tang, Pan

doi:10.1016/j.ast.2021.106703

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…However, the endurance of multi-rotor UAVs is lower than that of fixed-wing UAVs because of their relatively low flight efficiency. To overcome this limitation, aerodynamic designs have been developed for enhancing the flight performance of multi-rotor propulsion systems Dol 2020;Ye et al 2021). However, aerodynamic designs have been limited primarily to isolated rotors; hence they cannot consider the effect of the interaction caused between rotors in multi-rotor UAVs.…”

Section: Introductionmentioning

confidence: 99%

Effects of rotor–rotor interaction on the wake characteristics of twin rotors in axial descent

2022

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In this study, the effects of rotor–rotor interaction on wake characteristics were investigated experimentally for a twin-rotor configuration in axial descent. The wake velocities were measured at descent rates (descent speed/induced velocity at the rotor disk during hover) from 0.87 to 1.52, and the rotor–rotor interaction strength was controlled by adjusting the distance between the rotor tips. As the descent rate increased, the wake of the isolated rotor gradually entered the vortex ring state (VRS), where the flow established an extensive recirculation zone. Correlation analysis was performed to distinguish the rotor wake between tubular and VRS topologies. The flow states for the isolated rotor were classified into pre-VRS, incipient VRS, and fully developed VRS, depending on the probability of vortex ring formation. The results reveal that the effects of rotor–rotor interaction on the wake characteristics of twin rotors differ depending on the descent rate, distance between rotor tips, and wake region. In the outer region, the flow state of the rotor wake remains consistent with that of the isolated rotor, irrespective of the distance between rotor tips. Conversely, the strong rotor–rotor interaction changes the flow state in the inner region by disrupting the vortex ring structure, intensifying the wake asymmetry about the rotational axis. The thrust measurements show that under the VRS, as the two rotors get closer, the thrust coefficient increases until vortex ring disruption occurs, and then decreases after the vortex ring is disrupted.

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Section: Introductionmentioning

confidence: 99%

Effects of rotor–rotor interaction on the wake characteristics of twin rotors in axial descent

2022

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“…This can initially be done by using both low-and high-fidelity computational models of different complexity [some examples are provided by Bohari et al (2020), Figat and Piątkowska (2021), Herniczek et al (2019), Liu et al (2020), Russell andSekula (2017), Vargas Loureiro et al (2021)] which should then be followed by experimental testing (Kuitche et al, 2020;Scanavino et al, 2020). Similar integrated design processes were investigated and described by Kozaczuk (2020), Vu et al (2011) and Ye et al (2021).…”

Section: Introductionmentioning

confidence: 99%

Optimal propeller blade design, computation, manufacturing and experimental testing

Kovačević

Svorcan

Hasan

et al. 2021

AEAT

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Purpose Modern unmanned air vehicles (UAVs) are usually equipped with rotors connected to electric motors that enable them to hover and fly in all directions. The purpose of the paper is to design optimal composite rotor blades for such small UAVs and investigate their aerodynamic performances both computationally and experimentally. Design/methodology/approach Artificial intelligence method (genetic algorithm) is used to optimize the blade airfoil described by six input parameters. Furthermore, different computational methods, e.g. vortex methods and computational fluid dynamics, blade element momentum theory and finite element method, are used to predict the aerodynamic performances of the optimized airfoil and complete rotor as well the structural behaviour of the blade, respectively. Finally, composite blade is manufactured and the rotor performance is also determined experimentally by thrust and torque measurements. Findings Complete process of blade design (including geometry definition and optimization, estimation of aerodynamic performances, structural analysis and blade manufacturing) is conducted and explained in detail. The correspondence between computed and measured thrust and torque curves of the optimal rotor is satisfactory (differences mostly remain below 15%), which validates and justifies the used design approach formulated specifically for low-cost, small-scale propeller blades. Furthermore, the proposed techniques can easily be applied to any kind of rotating lifting surfaces including helicopter or wind turbine blades. Originality/value Blade design methodology is simplified, shortened and made more flexible thus enabling the fast and economic production of propeller blades optimized for specific working conditions.

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Aggressive flight control of quadrotors using incremental nonlinear dynamic inversion with a high-fidelity thrust unit model

Wu,

Ye,

Song

et al. 2024

Journal of the Franklin Institute

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Propulsion optimization of a quadcopter in forward state

Cited by 3 publications

References 19 publications

Effects of rotor–rotor interaction on the wake characteristics of twin rotors in axial descent

Effects of rotor–rotor interaction on the wake characteristics of twin rotors in axial descent

Optimal propeller blade design, computation, manufacturing and experimental testing

Aggressive flight control of quadrotors using incremental nonlinear dynamic inversion with a high-fidelity thrust unit model

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