Single and multi–objective UAV aerofoil optimisation via hierarchical asynchronous parallel evolutionary algorithm

Abstract

Unmanned aerial vehicle (UAV) design tends to focus on sensors, payload and navigation systems, as these are the most expensive components. One area that is often overlooked in UAV design is airframe and aerodynamic shape optimisation. As for manned aircraft, optimisation is important in order to extend the operational THE AERONAUTICAL JOURNAL

Conceptual design of UAV using Kriging based multi-objective genetic algorithm

“…Classical multi-objective optimization approaches have difficulties in obtaining the full Pareto set. Very recently, novel and powerful multi-objective evolutionary algorithms have been proposed which show superior performance in obtaining the full Pareto optimal front (18) .…”

“…The conceptual design of UAV can be formulated as an optimisation problem and the initial aircraft sizing can be performed by the optimisation approach. Some recent research activity has focused on UAV applications (18)(19)(20) of optimisation. Gonzalez et al (18) discuss the use of evolutionary algorithms for a single and multi-objective aerofoil optimisation.…”

Multidisciplinary Design Optimization of an UAV Wing Using Kriging Based Multi-Objective Genetic Algorithm

“…Kroo also covers the evolution of computational tools, strategies and challenges. Most of the researchers focus mainly on applying MDO to the complete aircraft design [4][5] during its conceptual design stage and to the design of wing [6][7][8][9][10][11][12][13][14] during the preliminary design phase. Sobester and Keane 4 studied and constructed a multidisciplinary analysis for UAV airframes.…”

“…UAV's are not governed by the strict airworthiness requirements of manned aircraft and provide more flexibility in the selection of wing design parameters. Some recent research activity has focused on UAV applications [13][14] . Gonzalez et al 13 discuss the use of evolutionary algorithms (EA) for a single and multi-objective airfoil optimization.…”

“…Some recent research activity has focused on UAV applications [13][14] . Gonzalez et al 13 discuss the use of evolutionary algorithms (EA) for a single and multi-objective airfoil optimization. They bring out the demerits of applying the gradient based approach for problems involving multi-objective, multi-modal and non-differentiable functions.…”