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并行子空间设计算法在电动无人机一体化设计中的应用

南京航空航天大学学报(英文版)2000,Vol.17Issue(2):140-149,10.
南京航空航天大学学报(英文版)2000,Vol.17Issue(2):140-149,10.

并行子空间设计算法在电动无人机一体化设计中的应用

INTEGRATED DESIGN OF AN ELECTRIC POWERED UNMANNED AIR VEHICLE USING CONCURRENT SUBSPACE DESIGN

1

作者信息

  • 1. 南京航空航天大学飞行器系南京,210016;圣母大学航空航天与机械工程系印第安纳州,美国;圣母大学航空航天与机械工程系印第安纳州,美国
  • 折叠

摘要

Abstract

The concurrent subspace design (CSD) framework has been used to conduct a preliminary design optimization of an electric powered, unmanned air vehicle (EPUAV) operating at a low Reynolds number. A multi disciplinary system analysis that includes aerodynamics, weights, propulsion, performance and stability and control has been developed for this class of vehicles. The CSD framework employs artificial neural network based response surfaces to provide approximations to the design space. The EPUAV system includes 25 continuous and 4 discrete design variables. The CSD framework was able to identify feasible designs with significant weight reductions relative to any previously considered (i. e. initial database) designs. This was accomplished with a limited number of system analyses. The results also demonstrate the nature of this design framework adaptive to changes in design requirements.

关键词

飞机设计/多学科设计优化/无人机/优化

Key words

aircraft design/multidisciplinary design optimization/unmanned air vehicle/optimization

分类

航空航天

引用本文复制引用

..并行子空间设计算法在电动无人机一体化设计中的应用[J].南京航空航天大学学报(英文版),2000,17(2):140-149,10.

基金项目

Supported by Aeronautic Science Foundation of China(00B52017).航空科学基金(001B52017)资助项目. (00B52017)

南京航空航天大学学报(英文版)

1005-1120

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