An efficient reduced-order framework for active/passive hybrid flutter suppression

气动弹性 颤振 计算机科学 控制理论(社会学) 空气动力学 计算流体力学 工程类 结构工程 航空航天工程 控制(管理) 人工智能
作者
Dongfeng Li,Z. Z. Wang,Andrea Da Ronch,G. Chen
出处
期刊:Journal of the Royal Aeronautical Society [Cambridge University Press]
卷期号:127 (1307): 24-40
标识
DOI:10.1017/aer.2022.42
摘要

Abstract Flutter suppression is an important measure to improve fatigue life and enhance the performance of aircraft in modern aircraft design. In order to design more effective controllers for flutter suppression with high efficiency, an efficient reduced-order framework for active/passive hybrid flutter suppression is proposed. The traditional CFD-based ROMs have been successfully applied to active flutter suppression with high accuracy and efficiency. But, when a structure modification is made such as in aeroelastic tailoring and aeroelastic structural optimisation, the structural model should be updated, and the expensive, time-consuming CFD-based ROMs have to be reconstructed; such a process is impractical for passive flutter suppression. To overcome the realistic challenge, an efficient reduced-order framework for active/passive hybrid flutter suppression is proposed by extending an efficient aeroelastic CFD-based POD/ROM which we have developed. The proposed framework is demonstrated and evaluated using an improved AGARD 445.6 wing model. The results show that the proposed framework can accurately predict the aeroelastic response for active/passive hybrid flutter suppression with high efficiency. It provides a powerful tool for active/passive hybrid flutter suppression, and therefore, is ideally suited to design more effective controllers, and may have the potential to reduce the overall cost of aircraft design.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
大模型应助surefire采纳,获得10
2秒前
Vigo发布了新的文献求助10
3秒前
4秒前
耳机关注了科研通微信公众号
5秒前
9秒前
9秒前
DarrenVan发布了新的文献求助10
9秒前
10秒前
邪帝完成签到,获得积分10
10秒前
科研通AI2S应助定格采纳,获得10
13秒前
quanbin完成签到 ,获得积分10
13秒前
ycy发布了新的文献求助10
14秒前
小呆鹿发布了新的文献求助20
14秒前
白昼の月完成签到 ,获得积分0
16秒前
zhubenteng发布了新的文献求助10
17秒前
无限雨泽完成签到,获得积分10
20秒前
JamesPei应助周稅采纳,获得10
20秒前
耳机发布了新的文献求助10
21秒前
sxtk完成签到,获得积分10
21秒前
kk发布了新的文献求助10
22秒前
22秒前
tang发布了新的文献求助10
22秒前
wjq95714应助科研通管家采纳,获得10
23秒前
23秒前
成就老姆应助科研通管家采纳,获得10
23秒前
能干的曼文完成签到,获得积分10
25秒前
26秒前
30秒前
31秒前
呱呱呱应助123456采纳,获得20
32秒前
kk完成签到,获得积分10
33秒前
哎呦喂发布了新的文献求助20
33秒前
Vigo完成签到,获得积分10
33秒前
36秒前
Xiaoma完成签到,获得积分10
36秒前
细腻问柳发布了新的文献求助10
37秒前
失眠夏之发布了新的文献求助10
38秒前
161319141完成签到 ,获得积分10
38秒前
大意的剑鬼完成签到,获得积分10
38秒前
ycy发布了新的文献求助10
40秒前
高分求助中
Teaching Social and Emotional Learning in Physical Education 900
Gymnastik für die Jugend 600
Chinese-English Translation Lexicon Version 3.0 500
Electronic Structure Calculations and Structure-Property Relationships on Aromatic Nitro Compounds 500
マンネンタケ科植物由来メロテルペノイド類の網羅的全合成/Collective Synthesis of Meroterpenoids Derived from Ganoderma Family 500
[Lambert-Eaton syndrome without calcium channel autoantibodies] 440
Plesiosaur extinction cycles; events that mark the beginning, middle and end of the Cretaceous 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2385405
求助须知:如何正确求助?哪些是违规求助? 2092038
关于积分的说明 5262357
捐赠科研通 1819092
什么是DOI,文献DOI怎么找? 907240
版权声明 559124
科研通“疑难数据库(出版商)”最低求助积分说明 484620