已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Wind-Optimal Trajectories for Multirotor eVTOL Aircraft on UAM Missions

起飞 风力发电 能源消耗 弹道 空气动力学 多转子 燃料效率 风速 推进 计算机科学 航空航天工程 环境科学 模拟 工程类 气象学 电气工程 物理 天文
作者
Priyank Pradeep,Todd A. Lauderdale,Gano Chatterji,Kapil Sheth,Chok Fung Lai,Banavar Sridhar,Kaj-Martin Edholm,Heinz Erzberger
出处
期刊:AIAA Aviation 2019 Forum 被引量:10
标识
DOI:10.2514/6.2020-3271
摘要

Distributed electric propulsion powered electric vertical takeoff and landing aircraft are expected to enable urban air mobility. Low specific energy of onboard lithium-ion polymer batteries and wind conditions impose constraints on flight endurance. Therefore, from the safety and efficiency perspective, planning and flying minimum energy trajectories are important. The primary motivation for this paper is to determine if there is an operational benefit to flying wind-optimal trajectories for short flights (less than 60 miles) in the urban environment. This study employs wind-optimal trajectories for a NASA-proposed conceptual multirotor aircraft flight in the urban environment. The optimal control model presented includes a wind model for quantifying the effect of wind on the trajectory. The optimal control problem is numerically solved using the direct method. Energy consumption and flight duration flying wind-optimal trajectories between origins and destinations in a metropolitan area are compared with energy consumption and flight duration flying on the great-circle paths between the same origin and destination pairs to determine the operational benefit of wind-optimal routing for short flights. The flight duration results for different scenarios are validated using a simulation tool designed and developed by NASA for exploring advanced air traffic management concepts. In summary, this research study suggests that for short flights in an urban environment, the wind-optimal trajectories have a very slight (insignificant) operational advantage over the great-circle trajectories in terms of energy consumption and flight duration. As expected, headwinds and tailwinds along the route of flight have a significant impact on energy consumption and flight duration.

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
彭于晏应助毛驴采纳,获得10
2秒前
2秒前
小蘑菇应助Samuel采纳,获得30
4秒前
故意的乐菱完成签到,获得积分10
4秒前
科研浦东发布了新的文献求助10
4秒前
院士候补中完成签到,获得积分10
5秒前
chenhoe1212完成签到,获得积分10
6秒前
6秒前
生椰拿铁完成签到 ,获得积分10
7秒前
7秒前
194完成签到,获得积分10
8秒前
杨三月完成签到,获得积分20
8秒前
尔白完成签到 ,获得积分10
10秒前
笑点低的如萱完成签到,获得积分10
10秒前
11秒前
12秒前
12秒前
ahuyv应助Tourist采纳,获得10
14秒前
阳澈发布了新的文献求助10
15秒前
wi发布了新的文献求助10
17秒前
共享精神应助Samuel采纳,获得30
19秒前
小马甲应助Sanction采纳,获得10
20秒前
21秒前
三三发布了新的文献求助10
21秒前
21秒前
不安听露完成签到 ,获得积分10
22秒前
ximei完成签到,获得积分10
24秒前
板栗烧鸡发布了新的文献求助10
24秒前
xx发布了新的文献求助10
27秒前
QW发布了新的文献求助10
28秒前
Aulalala完成签到,获得积分10
30秒前
乐乐应助wi采纳,获得10
33秒前
科研通AI6.2应助Samuel采纳,获得10
34秒前
三三完成签到,获得积分10
35秒前
奋斗的听露完成签到,获得积分10
35秒前
叶云夕完成签到,获得积分10
36秒前
小鱼完成签到 ,获得积分10
37秒前
39秒前
子平完成签到 ,获得积分0
42秒前
43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
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7738581
求助须知:如何正确求助?哪些是违规求助? 9287642
关于积分的说明 20184393
捐赠科研通 7316440
什么是DOI,文献DOI怎么找? 3305926
关于科研通互助平台的介绍 2458258
邀请新用户注册赠送积分活动 2315792