Carrier airwake simulation methods based on improved multi-objective genetic algorithm

被引：0
作者：
Tao, Yang [1 ,2 ]
Han, Wei [1 ]
机构：
[1] Department of Airborne Vehicle Engineering, Naval Aeronautical and Astronautical University, Yantai
[2] Naval Academy of Armament, Shanghai
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2015年 / 41卷 / 03期
关键词：
Carrier airwake; Error functions; Free-air random turbulence; Genetic algorithm; Multi-objective optimization;
D O I：
10.13700/j.bh.1001-5965.2014.0198
中图分类号：
学科分类号：
摘要：
A new numerical turbulence simulation method to enhance the credibility of simulation of carrier airwake free-air turbulence components has been presented. At first, the turbulence sequence of each direction was presented as the Euler forward different format with correction factors. Meanwhile, associated with the thought of intelligence algorithm, the mean squared error and correlation function error in turbulence correlation test were regarded as the optimized objective functions. And the selection of correction factors was treated as a multi-objective optimization problem. The correction factors were determined by improving multi-objective genetic algorithm. At last, the validity and rationality of this method were verified by simulation cases. The calculation results show that the required turbulence sequences can be generated flexibly with different sampling steps. Especially in case of some small sampling step, the simulated turbulence sequences fit the theoretical values very well, and the method can meet the requirement of virtual flight test. ©, 2015, Beijing University of Aeronautics and Astronautics (BUAA). All right reserved.
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页码：443 / 448
页数：5
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