One of the challenges in Unmanned (Combat) Aerial Vehicles (UCAV) is the improvement of aerodynamic performance to complete diverse missions, increase endurance and lower fuel consumption. Recent advances in design tools, materials, electronics and actuators have opened the door for implementation of transonic flow control technologies to improve aerodynamic efficiency. This paper explores the application of a robust Multi-Objective Evolutionary Algorithm (MOEA) for the design and optimisation of aerofoil sections and wing planform of UAVs and UCAVs. The methodology is based on a canonical evolution strategy and incorporates the concepts of hierarchical topology, parallel computing and asynchronous evaluation. For the design and optimisation of UCAV wing planform shape, an aero-diamond planform shape with a jagged trailing edge is considered like saw tooth. Results obtained from the combination between the approach and the aerodynamic analysis tools show the improvement of the aerodynamic efficiency, a set of shock-free aerofoils and the supercritical aero-diamond wing. Results also indicate that the method is capable to produce non-dominated solutions.
aspect ratio wing wetted area root chord length span length inboard taper ratio outboard taper ratio inboard sweep angle outboard sweep angle inboard break point outboard break point inboard dihedral angle outboard dihedral angle free stream Mach number Reynolds number angle of attack yaw angle lift coefficient drag coefficient drag coefficient at zero lift lift to drag ratio
Multi-objective Evolutionary Algorithms, UAVs (Unmanned Aerial Vehicles) Design and optimization
