語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
An End-to-End Platform for Autonomou...
~
Montella, Corey.
FindBook
Google Book
Amazon
博客來
An End-to-End Platform for Autonomous Dynamic Soaring in Wind Shear.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
An End-to-End Platform for Autonomous Dynamic Soaring in Wind Shear./
作者:
Montella, Corey.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
151 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-09, Section: B.
Contained By:
Dissertations Abstracts International80-09B.
標題:
Computer Engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13420627
ISBN:
9780438888890
An End-to-End Platform for Autonomous Dynamic Soaring in Wind Shear.
Montella, Corey.
An End-to-End Platform for Autonomous Dynamic Soaring in Wind Shear.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 151 p.
Source: Dissertations Abstracts International, Volume: 80-09, Section: B.
Thesis (Ph.D.)--Lehigh University, 2019.
This item must not be sold to any third party vendors.
Despite advancements in our understanding of flight in modern times, birds remain unmatched when it comes to maneuverability and energy efficiency in flight; in particular seabirds like the albatross are known to travel vast distances without stopping for food by performing an aerobatic maneuver called dynamic soaring. When the maneuver is executed in the presence of a wind field that varies in strength of direction, the albatross extracts kinetic energy from the field. In this dissertation, we present an end-to-end system designed to exploit wind as the albatross does. The system we designed consists of a gliding platform outfitted with sensors and computational hardware, an on-board software platform that enables autonomy, and a ground platform for monitoring mission performance and issuing commands. We contribute the design of an airframe, the Fox, capable of performing dynamic soaring at low altitudes (~400m above sea level). We validate the airframe against expected stressors (vibration, coefficient of lift, temperature, and communication signal strength), and show in simulation it can complete a dynamic soaring orbit in wind shear that varies in maximum wind speed from 8 to 12 m/s. We show that this airframe can reach speeds exceeding 40 m/s while soaring. We fit the airframe with a commercial off-the-shelf autopilot, as well as a custom on-board-computing (OBC) solution to provide the necessary facilities to enable autonomy. The OBC generates dynamic soaring trajectories that fit a wind-field map that is built as the aircraft is deployed and controls the Fox to follow them by sending commands to the autopilot using a sample-based controller scheme. This process is monitored by human operators on the ground via a portable ground station that is linked to the Fox via a radio antenna. Field tests are presented that validate real-world controller performance against simulated results. Finally, we present a learning controller that learns from and out-performs the sample-based controller in simulation. While not field tested, we believe a self-optimizing controller of this form is necessary to enable autonomy of a soaring aircraft subject to extended mission durations. While dynamic soaring field tests were not pursued in this work, we hope this dissertation will be a blueprint for future researchers to finally achieve autonomous soaring.
ISBN: 9780438888890Subjects--Topical Terms:
1567821
Computer Engineering.
An End-to-End Platform for Autonomous Dynamic Soaring in Wind Shear.
LDR
:03448nmm a2200325 4500
001
2263311
005
20200316071942.5
008
220629s2019 ||||||||||||||||| ||eng d
020
$a
9780438888890
035
$a
(MiAaPQ)AAI13420627
035
$a
(MiAaPQ)lehigh:12046
035
$a
AAI13420627
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Montella, Corey.
$3
3540396
245
1 3
$a
An End-to-End Platform for Autonomous Dynamic Soaring in Wind Shear.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2019
300
$a
151 p.
500
$a
Source: Dissertations Abstracts International, Volume: 80-09, Section: B.
500
$a
Publisher info.: Dissertation/Thesis.
500
$a
Advisor: Spletzer, John.
502
$a
Thesis (Ph.D.)--Lehigh University, 2019.
506
$a
This item must not be sold to any third party vendors.
520
$a
Despite advancements in our understanding of flight in modern times, birds remain unmatched when it comes to maneuverability and energy efficiency in flight; in particular seabirds like the albatross are known to travel vast distances without stopping for food by performing an aerobatic maneuver called dynamic soaring. When the maneuver is executed in the presence of a wind field that varies in strength of direction, the albatross extracts kinetic energy from the field. In this dissertation, we present an end-to-end system designed to exploit wind as the albatross does. The system we designed consists of a gliding platform outfitted with sensors and computational hardware, an on-board software platform that enables autonomy, and a ground platform for monitoring mission performance and issuing commands. We contribute the design of an airframe, the Fox, capable of performing dynamic soaring at low altitudes (~400m above sea level). We validate the airframe against expected stressors (vibration, coefficient of lift, temperature, and communication signal strength), and show in simulation it can complete a dynamic soaring orbit in wind shear that varies in maximum wind speed from 8 to 12 m/s. We show that this airframe can reach speeds exceeding 40 m/s while soaring. We fit the airframe with a commercial off-the-shelf autopilot, as well as a custom on-board-computing (OBC) solution to provide the necessary facilities to enable autonomy. The OBC generates dynamic soaring trajectories that fit a wind-field map that is built as the aircraft is deployed and controls the Fox to follow them by sending commands to the autopilot using a sample-based controller scheme. This process is monitored by human operators on the ground via a portable ground station that is linked to the Fox via a radio antenna. Field tests are presented that validate real-world controller performance against simulated results. Finally, we present a learning controller that learns from and out-performs the sample-based controller in simulation. While not field tested, we believe a self-optimizing controller of this form is necessary to enable autonomy of a soaring aircraft subject to extended mission durations. While dynamic soaring field tests were not pursued in this work, we hope this dissertation will be a blueprint for future researchers to finally achieve autonomous soaring.
590
$a
School code: 0105.
650
4
$a
Computer Engineering.
$3
1567821
650
4
$a
Robotics.
$3
519753
690
$a
0464
690
$a
0771
710
2
$a
Lehigh University.
$b
Computer Engineering.
$3
1684495
773
0
$t
Dissertations Abstracts International
$g
80-09B.
790
$a
0105
791
$a
Ph.D.
792
$a
2019
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13420627
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9415545
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入