Efficient robust design of a forward swept unmanned aerial vehicle using surrogates

The research presented treats the robust design optimization (RDO) of an unmanned aerialvehicle (UAV) considering geometric uncertainty related to its production process. RDO re-quires uncertainty quantification (UQ) in a number of design points, making it computationallyexpensive. Therefore, surrogate modelling is employed to efficiently perform the optimization.The optimization is regarded as a multi-objective optimization (MOO) of expected value andvariance. The goal is to obtain a Pareto set of non-dominated solutions. Several methods areassessed by applying them to an analytical test function. Subsequently, the RDO of a UAV with forward swept planform and the validation of the resulting optimal points are performed