Abstract
Unmanned Aerial Vehicle (UAV) has been developed quickly for decades and a new kind of VTOL (Vertical Take-Off and Landing) UAV which is called Ducted-Fan Uninhabited Aerial Vehicle attracts more and more attention. This paper presents a new structure of the ducted-fan UAV. In this vehicle, the actuator system consists of four rotary cylinders which are symmetrically installed at bottom of inside duct. The force used for attitude stabilization is generated by the interaction between the surface of cylinder and the downwash, which is known as Magnus effect. In this paper, the optimization of this ducted fan UAV is conducted based on Computational Fluid Dynamics (CFD). The response surface methodology (RSM) and Genetic Algorithm (GA) are adopted in the optimization.
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