global optimization for cross-domain aircraft based on kriging model and particle swarm optimization algorithm

In order to further enhance and extend the capabilities and effciency of current aircrafts, a new type of water-air cross-domain aircraft was herein proposed. the fixed wing aircrafts' working system was the source of inspiration for designing this new type of water-air cross-domain aircraft. this new type of water-air aircraft has extra tandem ducted coaxial rotors and tail ducted propulsion system, and is driven by a hybrid power system. due to its layout situation, the uid underwater characteristics was especially analyzed based on computational fluid dynamics (cfd) simulation experiments, which mainly aimed at the thrust force characteristics in uenced by different layout parameters of tail ducts and different rotational velocities. in order to figure out the optimal layout which can reach the best underwater performance, a global layout optimization was accomplished using the result of the previous studies. the studies employed an optimization method based on particle swarm optimization (pso) algorithm with the compensation of orthogonal test and kriging model to decrease computational complexity and improve interpolation accuracy. the global optimal layout solution was finally obtained and validated to insure reasonable accuracy through extra simulation experiments, and the proposed optimization method was also proved to be effective.