Global optimization for ducted coaxial-rotors aircraft based on Kriging model and improved particle swarm optimization algorithm

被引:0
作者
Lu-hong Yang
Shun-an Liu
Guan-yu Zhang
Chun-xue Wang
机构
[1] Jilin University,College of Mechanical Science and Engineering
来源
Journal of Central South University | 2015年 / 22卷
关键词
ducted coaxial rotors; aircraft; Kriging model; particle swarm optimization; global optimization;
D O I
暂无
中图分类号
学科分类号
摘要
To improve the operational efficiency of global optimization in engineering, Kriging model was established to simplify the mathematical model for calculations. Ducted coaxial-rotors aircraft was taken as an example and Fluent software was applied to the virtual prototype simulations. Through simulation sample points, the total lift of the ducted coaxial-rotors aircraft was obtained. The Kriging model was then constructed, and the function was fitted. Improved particle swarm optimization (PSO) was also utilized for the global optimization of the Kriging model of the ducted coaxial-rotors aircraft for the determination of optimized global coordinates. Finally, the optimized results were simulated by Fluent. The results show that the Kriging model and the improved PSO algorithm significantly improve the lift performance of ducted coaxial-rotors aircraft and computer operational efficiency.
引用
收藏
页码:1315 / 1323
页数:8
相关论文
共 38 条
[1]  
Vitanov V I(2010)Application of response surface methodology for the optimisation of micro friction surfacing process [J] Surface and Coatings Technology 204 3501-3508
[2]  
Javaid N(2004)The use of factorial design and response surface methodology for fast determination of optimal heat treatment conditions of different Ni-Co-Mo surfaced layers [J] Journal of Materials Processing Technology 155 2026-2032
[3]  
Stephenson D J(1963)Principles of geostatistics [J] Economic Geology 58 1246-1266
[4]  
Grum J(2001)Kriging models for global approximation in simulation-based multidisciplinary design optimization [J] AIAA Journal 39 2233-2241
[5]  
Slabe J M(2000)Application of multi regressive linear models, dynamic Kriging models and neural network models to predictive maintenance of hydroelectric power systems [J] Mechanical Systems and Signal Processing 14 471-494
[6]  
Matheron G(2007)Prospect and recent research & development for civil use autonomous unmanned aircraft as UAV and MAV [J] Journal of System Design and Dynamics 1 120-128
[7]  
Simpson T W(2011)Numerical simulation of unsteady flow around forward flight helicopter with coaxial rotors [J] Chinese Journal of Aeronautics 24 1-7
[8]  
Mauery T M(2013)CFD-based optimization of hovering rotors using radial basis functions for shape parameterization and mesh deformation [J] Optimization and Engineering 14 97-118
[9]  
Korte J J(2013)An experimental investigation on aerodynamic performance of a coaxial rotor system with different rotor spacing and wind speed [J] Experimental Thermal and Fluid Science 44 779-785
[10]  
Mistree F(2000)A comparison of three methods for selecting values of input variables in the analysis of output from a computer code [J] Technometrics 42 55-61