Flight Dynamic Modelling and Control System Design for a Flapping Wing Micro Aerial Vehicle at Hover

Loh, K.; Cook, M.V.

doi:10.2514/6.2003-5705

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…Deng et al [9] use this method to derive a set of equations describing the motion of a MAV design, which is then used in [8] to study implementation of control methods using periodic proportional controllers. Similarly, Loh and Cook develop a Newton-Euler based set of equations in [32] that explores attaining stability by changing the inertial properties of the vehicle through a segmented fuselage with multiple degrees of freedom. Sigthorsson et al [44] developed a Newton-Euler model coupled to curve fitted quasi-periodic aerodynamic equations with an aim of inves-https://scidoc.org/IJASAR.php tigating the possibility of providing a 6 degree of freedom flapping wing MAV stability using a 4 degree of freedom controller.…”

Section: Development Of Dynamic Modelsmentioning

confidence: 99%

A Review of Flapping Wing MAV Modelling

Mwongera¹

2015

IJASAR

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Rotary and flapping wings, however, have the ability to hover and operate at lower speeds. In addition, they can perform perches, thereby saving power whilst still carrying out the mission. Rotary and flapping wings can be made small, with a lower payload and endurance, therefore making them capable of operation within a confined environment and consequently introducing methods of aircraft surveillance that were previously inaccessible. Flapping wing MAVs are more suited to indoor operation than rotary wing MAVs. They fly with less noise, which reduces their detectability. Also, they are less affected by proximity to objects such as walls. Indeed, they can collide with them and still recover flight in a much smaller space, with relatively little damage. Thus, flapping wing MAVs are very desirable as the predominant MAV for surveillance at close quarters.

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Section: Development Of Dynamic Modelsmentioning

confidence: 99%

A Review of Flapping Wing MAV Modelling

Mwongera¹

2015

IJASAR

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“…22 On the other hand, there are studies with the assumption of neglecting forces and moments generated by the insect's body compared to that of the flapping wing. [23][24][25][26][27][28] This assumption is only valid in the case of hovering flight, in which the contribution of body aerodynamics is insignificant. However, as the flight speed increases the wing-body interaction tends to enhance the lift dramatically.…”

Section: Introductionmentioning

confidence: 99%

Multi-physics simulation of an insect with flapping wings

Bakhshaei

MoradiMaryamnegari

SalavatiDezfouli

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part G:

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In this paper, the unsteady aerodynamic of an insect’s forward flight has been carried out with a novel approach. In order to fully utilize the available powerful solvers, an innovative intermediary MATLAB code has been written for the high-fidelity time-resolved multi-physics problems involving fluid flow and multi-body simulations. For simulating the insect’s flight, the FLUENT solver has been utilized to determine aerodynamic forces and moments of the wings and main body while ADAMS software has been employed to calculate translational and angular velocities. Overset grid technology accompanied with dynamic mesh method have been implemented for the movement of the insect. The code is responsible for the synchronization of the solvers at the end of each time step as well as the integration of the solutions. Three different simulations are done for two different insects’ geometries. For the first and second simulations, a simplified geometry of an insect is selected, due to the ease of manufacturing and testing. At first, all rotational and translational degrees of freedom are considered to be free. The motion path history shows the instability due to an inappropriate location of the center of gravity. Hence, in the second case, it is assumed that the insect’s main body is limited to the vertical motion. In the final simulation, a complicated model of a bee with exact geometry and wings kinematics extracts from the experimental data with the free translational degrees of freedom. According to the results, combining multiple software in which they can interact with each other at each time step, is the most accurate way for doing precise multi-physics simulations.

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