Title of article :
Global optimization for cross-domain aircraft based on kriging model and particle swarm optimization algorithm
Author/Authors :
Chen, Y-L School of Mechanical and Aerospace Engineering - Jilin University - Changchun 130022, China , Qin, J - C School of Mechanical and Aerospace Engineering - Jilin University - Changchun 130022, China , Sun, H-P School of Mechanical and Aerospace Engineering - Jilin University - Changchun 130022, China , Shang, T College of Mechanical and Electrical Engineering - Jiaxing University - Jiaxing 314001, China , Zhang, X - G School of Mechanical and Aerospace Engineering - Jilin University - Changchun 130022, China , Hu, Y School of Mechanical and Aerospace Engineering - Jilin University - Changchun 130022, China
Abstract :
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 fxedwing
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 gure 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 obtained
and validated to insure reasonable accuracy through extra simulation experiments, and the
proposed optimization method was also proved to be effective.
Keywords :
Cross-domain aircraft , Kriging model , PSO algorithm , Orthogonal test , Global optimization
Journal title :
Scientia Iranica(Transactions B:Mechanical Engineering)
