• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用纵向稳定性导数对单个系留浮空器进行数学建模。

Mathematical modelling of a single tethered aerostat using longitudinal stability derivatives.

作者信息

Sasidharan Anoop, Velamati Ratna Kishore, Mohammad Akram, Benaissa Sabrina

机构信息

Department of Electrical and Electronics Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India.

Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.

出版信息

Sci Rep. 2024 Feb 14;14(1):3697. doi: 10.1038/s41598-024-53851-1.

DOI:10.1038/s41598-024-53851-1
PMID:38355935
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10866963/
Abstract

Lighter-than-air (LTA) aerial vehicles such as airships and aerostats can be found in various strategic and commercial applications, primarily due to their capability to hover and stealth. The mathematical model of these vehicles helps in understanding their complex dynamics and designing and developing proper stabilisation systems for them. Stability derivatives have been used for developing mathematical models for heavier-than-air aerial vehicles since their introduction. This paper presents a methodology to develop a mathematical model of an aerostat based on stability derivatives. One of the major contributions of this study is the estimation of aerostat's added mass terms expressed as longitudinal stability derivatives due to acceleration of the longitudinal motion variables. A longitudinally decoupled linear mathematical model of a single-tethered aerostat using stability derivatives is investigated in this study. A computational fluid dynamics (CFD)-based analysis of the 3D model of the vehicle is used to obtain the stability derivatives. The methodology presented considers the aerostat and tether models separately before coupling them to create the full model. The stability derivative analysis is carried out using ANSYS Fluent, and the coupled tethered aerostat model is investigated using MATLAB 2020. The negative pitch angle of the aerostat is caused by the selection of the pitching centre as the aerostat centre of volume instead of the tether confluence point. The tension force on the tether, which is proportional to the wind velocity, and aerostat velocity components are found to be stabilised within 200-400 s.

摘要

诸如飞艇和气艇之类的轻于空气(LTA)飞行器可用于各种战略和商业应用,主要是因为它们具有悬停和隐身能力。这些飞行器的数学模型有助于理解其复杂的动力学特性,并为它们设计和开发合适的稳定系统。自引入以来,稳定性导数一直用于开发重于空气的飞行器的数学模型。本文提出了一种基于稳定性导数开发气艇数学模型的方法。这项研究的主要贡献之一是估计了气艇由于纵向运动变量的加速度而表示为纵向稳定性导数的附加质量项。本研究研究了使用稳定性导数的单系留气艇的纵向解耦线性数学模型。使用基于计算流体动力学(CFD)的飞行器三维模型分析来获得稳定性导数。所提出的方法在将气艇和系留模型耦合以创建完整模型之前分别考虑它们。使用ANSYS Fluent进行稳定性导数分析,并使用MATLAB 2020研究耦合的系留气艇模型。气艇的负俯仰角是由于选择俯仰中心作为气艇的体积中心而不是系留汇合点造成的。发现系留上的拉力与风速成正比,并且气艇速度分量在200 - 400秒内稳定下来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/22e7f74b7598/41598_2024_53851_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/4b872653c638/41598_2024_53851_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/8bb47c794c47/41598_2024_53851_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/d78c9ccc349f/41598_2024_53851_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/b82883e6a5ad/41598_2024_53851_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/8b5ae7102783/41598_2024_53851_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/27e59a2b164d/41598_2024_53851_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/e4e162c81801/41598_2024_53851_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/3a6a56f09631/41598_2024_53851_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/41ef7b56e641/41598_2024_53851_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/cf9722ad75e5/41598_2024_53851_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/34d689bcd039/41598_2024_53851_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/1a0ee8947ff3/41598_2024_53851_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/8bba0330c753/41598_2024_53851_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/53c2a28ce028/41598_2024_53851_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/22e7f74b7598/41598_2024_53851_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/4b872653c638/41598_2024_53851_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/8bb47c794c47/41598_2024_53851_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/d78c9ccc349f/41598_2024_53851_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/b82883e6a5ad/41598_2024_53851_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/8b5ae7102783/41598_2024_53851_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/27e59a2b164d/41598_2024_53851_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/e4e162c81801/41598_2024_53851_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/3a6a56f09631/41598_2024_53851_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/41ef7b56e641/41598_2024_53851_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/cf9722ad75e5/41598_2024_53851_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/34d689bcd039/41598_2024_53851_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/1a0ee8947ff3/41598_2024_53851_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/8bba0330c753/41598_2024_53851_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/53c2a28ce028/41598_2024_53851_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc74/10866963/22e7f74b7598/41598_2024_53851_Fig15_HTML.jpg

相似文献

1
Mathematical modelling of a single tethered aerostat using longitudinal stability derivatives.使用纵向稳定性导数对单个系留浮空器进行数学建模。
Sci Rep. 2024 Feb 14;14(1):3697. doi: 10.1038/s41598-024-53851-1.
2
Microwave Staring Correlated Imaging Based on Unsteady Aerostat Platform.基于非稳态浮空器平台的微波凝视相关成像
Sensors (Basel). 2019 Jun 24;19(12):2825. doi: 10.3390/s19122825.
3
Fiber Bragg grating-based plane strain monitoring of aerostat envelope structures.基于光纤布拉格光栅的浮空器蒙皮结构平面应变监测
Appl Opt. 2013 Jul 1;52(19):4631-9. doi: 10.1364/AO.52.004631.
4
Special section on biomimetics of movement.运动仿生学专题
Bioinspir Biomim. 2011 Dec;6(4):040201. doi: 10.1088/1748-3182/6/4/040201. Epub 2011 Nov 29.
5
Dynamic Behavior Analysis and Stability Control of Tethered Satellite Formation Deployment.系留卫星编队展开的动力学行为分析与稳定性控制
Sensors (Basel). 2021 Dec 23;22(1):62. doi: 10.3390/s22010062.
6
Dipteran insect flight dynamics. Part 1 Longitudinal motion about hover.双翅目昆虫飞行动力学。第 1 部分 悬停时的纵向运动。
J Theor Biol. 2010 May 21;264(2):538-52. doi: 10.1016/j.jtbi.2010.02.018. Epub 2010 Feb 17.
7
On mathematical modelling of insect flight dynamics in the context of micro air vehicles.基于微型飞行器的昆虫飞行动力学数学建模
Bioinspir Biomim. 2006 Jun;1(2):R26-37. doi: 10.1088/1748-3182/1/2/R02. Epub 2006 Jul 10.
8
Source localization from an elevated acoustic sensor array in a refractive atmosphere.在折射大气中,从高处的声学传感器阵列进行源定位。
J Acoust Soc Am. 2008 Dec;124(6):3413-20. doi: 10.1121/1.3003085.
9
Auto-landing of fixed wing unmanned aerial vehicles using the backstepping control.固定翼无人机的自动着陆采用反推控制。
ISA Trans. 2019 Dec;95:194-210. doi: 10.1016/j.isatra.2019.05.019. Epub 2019 May 29.
10
Flying Into the Wind: Insects and Bio-Inspired Micro-Air-Vehicles With a Wing-Stroke Dihedral Steer Passively Into Wind-Gusts.逆风飞行:具有翼 stroke 二面角的昆虫和仿生微型飞行器可被动转向阵风。
Front Robot AI. 2022 Feb 24;9:820363. doi: 10.3389/frobt.2022.820363. eCollection 2022.