One of the most daunting task in the design of a medium altitude long endurance (MALE) unmanned aerial vehicles (UAV s) is the selection of the airframe parameters to give maximum possible endurance while satisfying the design constraints. In this paper, we have researched the endurance problem of MALE UAVs by casting it as an optimization problem. To tackle this, we have defined an endurance equation for the UAV in terms of the design parameters and then used accelerated particle swarm optimization (APSO) to get the optimal values for the airframe parameters. The considered design parameters are the dimensions of the UAV geometrical components which have been represented in terms of wing span and mean aerodynamic chord. The design constraints are airframe geometry, its dimension and UAV mass. The design geometry for the optimal parameters has been modeled and analyzed using XFLR5.
Accelerated Particle Swarm Optimization for Endurance of MALE UAV
2019-12-01
708011 byte
Conference paper
Electronic Resource
English
Reentry guidance by accelerated fractional-order particle swarm optimization method
Emerald Group Publishing | 2020
|Surrogate-assisted Self-accelerated Particle Swarm Optimization (AIAA 2014-1486)
British Library Conference Proceedings | 2014
|AIAA | 2003
|British Library Conference Proceedings | 2002
|