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高频扑动微扑翼飞行器多目标优化设计
引用本文:蒋进,郑祥明,冯卓群,沈欢.高频扑动微扑翼飞行器多目标优化设计[J].航空工程进展,2019,10(1):80-86.
作者姓名:蒋进  郑祥明  冯卓群  沈欢
作者单位:南京航空航天大学飞行器先进设计技术国防重点学科实验室,南京,210016;南京航空航天大学飞行器先进设计技术国防重点学科实验室,南京,210016;南京航空航天大学飞行器先进设计技术国防重点学科实验室,南京,210016;南京航空航天大学飞行器先进设计技术国防重点学科实验室,南京,210016
基金项目:获得南京航空航天大学研究生创新基地(实验室)开放基金资助(kfjj20170113);中央高校基本科研业务费专项资金资助;江苏高校优势学科建设工程资助项目
摘    要:微扑翼飞行器高频扑动时机翼与机身最大载荷急剧增加,严重影响飞行性能和飞行寿命。分析微扑翼扑动过程中机翼运动情况及受力情况,建立扑动过程中机翼升力、阻力和惯性力数学模型,提出以改善载荷在时间域上分布情况为目标的多目标优化模型,并且在Matlab环境下采用NSGA-Ⅱ算法进行求解,得到悬停状态下的Pareto最优解集。结果表明:提出的优化模型使升力峰值与惯性力峰值显著降低,载荷分布情况得到明显改善。

关 键 词:微扑翼飞行器  高频扑动  NSGA-Ⅱ  载荷分布  多目标优化
收稿时间:2018/5/3 0:00:00
修稿时间:2018/5/30 0:00:00

Multi-objective optimum design for high-frequency flapping-wing micro air vehicle based on NSGA-II algorithm
jiangjin,zhengxiangming,fengzhuoqun and shenhuan.Multi-objective optimum design for high-frequency flapping-wing micro air vehicle based on NSGA-II algorithm[J].Advances in Aeronautical Science and Engineering,2019,10(1):80-86.
Authors:jiangjin  zhengxiangming  fengzhuoqun and shenhuan
Institution:National Defense Key Laboratory of Aircraft Advanced Design Technology, Nanjing University of Aeronautics and Astronautics,National Defense Key Laboratory of Aircraft Advanced Design Technology, Nanjing University of Aeronautics and Astronautics,National Defense Key Laboratory of Aircraft Advanced Design Technology, Nanjing University of Aeronautics and Astronautics,Nanjing University of Aeronautics and Astronautics
Abstract:Flapping-wing micro air vehicles (FWMAVS) are subject to lift, drag and inertial loads of violent changes while fluttering at high frequencies, which seriously affect the flight performance and flight life. This paper establishes a mathematical model of wing lift, drag and inertial forces during the FWMAVs fluttering based on the analysis of movement and force conditions of the wing. A multi-objective optimization model targeting at improving the distribution of loads in the time domain is then proposed and solved by using NSGA-II algorithm in Matlab environment. After all the work, the Pareto optimal solution set of the hovering state is obtained. Comparison and analysis of the data show that after the optimization, the peaks of lift and inertial forces decline significantly and the load distribution is obviously improved, which shows that results of this optimization method meet the design requirements.
Keywords:flapping-wing micro air vehicle  high-frequency fluttering  NSGA-II  load distribution  multi-objective optimum design
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