Design, structure analysis and shock control of aircraft landing gear system with MR damper

起落架 跌落试验 阻尼器 工程类 有限元法 减震器 控制理论(社会学) 控制器(灌溉) 结构工程 汽车工程 机械工程 模拟 计算机科学 农学 控制(管理) 人工智能 生物
作者
Byung-Hyuk Kang,Seung‐Bok Choi
出处
期刊:Smart Materials and Structures [IOP Publishing]
卷期号:33 (5): 055049-055049 被引量:9
标识
DOI:10.1088/1361-665x/ad3e53
摘要

Abstract This study proposes a new magneto-rheological aircraft main landing gear (MRAMLG) system and comprehensively treats from a mathematical modelling to drop testing for the evaluation of the landing efficiency. A mathematical model is formulated based on specifications and requirements of existing small aircraft Oleo type landing gear system. To ensure structural stability of the landing gear components such as main trust, column and trunnion, a transient structural analysis is carried out using the finite element method (FEM) and a fatigue life is analysed based on empirical formulas and the rainflow-counting (RC) algorithm. Subsequently, a novel controller is formulated to enhance the landing efficiency by integrating the time delay model and 3-stage hysteresis regulator. In the synthesis of the controller, a desired force model based on the energy law is added to accurately track the desired yield stress needed for the desired field-dependent force. In this work, the proposed control algorithm is named as the model-based force-tracking (MBFT) controller. To evaluate the landing efficiency or shock struct efficiency (SSE) of the proposed MRAMLG, an experimental apparatus for drop test is designed and manufactured by considering a dummy (sprung) mass of 640–720 kg at the maximum sink speed of 3 m s −1 . The sink speed represents the rate of descent of the MRAMLG’s tire just before it touches the ground. It is demonstrated from simulation and experiment that the SSE with the MBFT controller is higher than 83% across various landing conditions with different sprung mass and sink speed, while the conventional controllers, proportional-integral and skyhook, compared to MBFT, do not show consistent performance depending on the sprung mass and sink speed.
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
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
4645发布了新的文献求助10
刚刚
lejunia发布了新的文献求助10
1秒前
迅速采梦发布了新的文献求助10
2秒前
无一完成签到,获得积分10
4秒前
6秒前
sx完成签到,获得积分10
6秒前
郭欣茹发布了新的文献求助10
6秒前
9秒前
lijiuyi发布了新的文献求助10
10秒前
12秒前
gmjinfeng完成签到,获得积分0
12秒前
12秒前
迷人的大地完成签到,获得积分10
13秒前
金振龙完成签到,获得积分10
14秒前
14秒前
小蘑菇应助邹邹采纳,获得10
14秒前
15秒前
小幸运发布了新的文献求助20
16秒前
bkagyin应助小花采纳,获得10
16秒前
16秒前
16秒前
18秒前
高医生发布了新的文献求助10
20秒前
21秒前
没头发完成签到,获得积分10
24秒前
Pwg完成签到,获得积分10
24秒前
25秒前
充电宝应助栗子栗栗子采纳,获得10
25秒前
SciGPT应助Lily采纳,获得10
25秒前
小花发布了新的文献求助10
25秒前
大模型应助lejunia采纳,获得10
26秒前
万能图书馆应助lejunia采纳,获得10
26秒前
李爱国应助jjbl采纳,获得10
27秒前
28秒前
29秒前
29秒前
小葵完成签到,获得积分10
30秒前
地球发布了新的文献求助10
32秒前
昏睡的浩然完成签到,获得积分10
33秒前
gurdeva发布了新的文献求助10
34秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6443547
求助须知:如何正确求助?哪些是违规求助? 8257395
关于积分的说明 17586450
捐赠科研通 5502154
什么是DOI,文献DOI怎么找? 2900906
邀请新用户注册赠送积分活动 1877940
关于科研通互助平台的介绍 1717534