Paper
26 March 2015 A low-cost simulation platform for flapping wing MAVs
J. M. Kok, J. S. Chahl
Author Affiliations +
Abstract
This paper describes the design of a flight simulator for analysing the systems level performance of a Dragonfly-Inspired Micro Air Vehicle (DIMAV). A quasi-steady blade element model is used to analyse the aerodynamic forces. Aerodynamic and environmental forces are then incorporated into a real world flight dynamics model to determine the dynamics of the DIMAV system. The paper also discusses the implementation of the flight simulator for analysing the manoeuvrability of a DIMAV, specifically several modes of flight commonly found in dragonflies. This includes take-off, roll turns and yaw turns. Our findings with the simulator are consistent with results from wind tunnel studies and slow motion cinematography of dragonflies. In the take-off mode of flight, we see a strong dependence of take-off accelerations with flapping frequency. An increase in wing-beat frequency of 10% causes the maximum vertical acceleration to increase by 2g which is similar to that of dragonflies in nature. For the roll and yaw modes of manoeuvring, asymmetrical inputs are applied between the left and right set of wings. The flapping amplitude is increased on the left pair of wings which causes a time averaged roll rate to the right of 1.76rad/s within two wing beats. In the yaw mode, the stroke plane angle is reduced in the left pair of wings to initiate the yaw manoeuvre. In two wing beats, the time averaged yaw rate is 2.54rad/s.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. M. Kok and J. S. Chahl "A low-cost simulation platform for flapping wing MAVs", Proc. SPIE 9429, Bioinspiration, Biomimetics, and Bioreplication 2015, 94290L (26 March 2015); https://doi.org/10.1117/12.2084142
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Cited by 12 scholarly publications.
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KEYWORDS
Aerodynamics

Micro unmanned aerial vehicles

Actuators

Unmanned aerial vehicles

Motion models

Physics

Visualization

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