Global optimization for ducted coaxial-rotors aircraft based on Kriging model and improved particle swarm optimization algorithm
来源期刊：中南大学学报(英文版)2015年第4期
论文作者：YANG Lu-hong LIU Shun-an ZHANG Guan-yu WANG Chun-xue
文章页码：1315 - 1323
Key words：ducted coaxial rotors; aircraft; kriging model; particle swarm optimization; global optimization
Abstract: 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.
YANG Lu-hong(杨璐鸿), LIU Shun-an(刘顺安), ZHANG Guan-yu(张冠宇), WANG Chun-xue(王春雪)
(College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China)
Abstract: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.
Key words:ducted coaxial rotors; aircraft; kriging model; particle swarm optimization; global optimization
