國立虎尾科技大學 |

GPS navigation algorithms for Autonomous Airborne Refueling of Unmanned Air Vehicles.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	GPS navigation algorithms for Autonomous Airborne Refueling of Unmanned Air Vehicles./
作者:	Khanafseh, Samer Mahmoud.
面頁冊數:	1 online resource (165 pages)
附註:	Source: Dissertation Abstracts International, Volume: 69-11, Section: B, page: 6951.
Contained By:	Dissertation Abstracts International69-11B.
標題:	Aerospace engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780549928959

GPS navigation algorithms for Autonomous Airborne Refueling of Unmanned Air Vehicles.
Khanafseh, Samer Mahmoud.

GPS navigation algorithms for Autonomous Airborne Refueling of Unmanned Air Vehicles. - 1 online resource (165 pages)

Source: Dissertation Abstracts International, Volume: 69-11, Section: B, page: 6951.

Thesis (Ph.D.)--Illinois Institute of Technology, 2008.

Includes bibliographical references

Unmanned Air Vehicles (UAVs) have recently generated great interest because of their potential to perform hazardous missions without risking loss of life. If autonomous airborne refueling is possible for UAVs, mission range and endurance will be greatly enhanced. However, concerns about UAV-tanker proximity, dynamic mobility and safety demand that the relative navigation system meets stringent requirements on accuracy, integrity, and continuity. In response, this research focuses on developing high-performance GPS-based navigation architectures for Autonomous Airborne Refueling (AAR) of UAVs.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780549928959Subjects--Topical Terms:

686400
Aerospace engineering.
Index Terms--Genre/Form:

554714
Electronic books.

GPS navigation algorithms for Autonomous Airborne Refueling of Unmanned Air Vehicles.
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245 1 0 $a GPS navigation algorithms for Autonomous Airborne Refueling of Unmanned Air Vehicles.
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300 $a 1 online resource (165 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 69-11, Section: B, page: 6951.
500 $a Adviser: Boris Pervan.
502 $a Thesis (Ph.D.)--Illinois Institute of Technology, 2008.
504 $a Includes bibliographical references
520 $a Unmanned Air Vehicles (UAVs) have recently generated great interest because of their potential to perform hazardous missions without risking loss of life. If autonomous airborne refueling is possible for UAVs, mission range and endurance will be greatly enhanced. However, concerns about UAV-tanker proximity, dynamic mobility and safety demand that the relative navigation system meets stringent requirements on accuracy, integrity, and continuity. In response, this research focuses on developing high-performance GPS-based navigation architectures for Autonomous Airborne Refueling (AAR) of UAVs.
520 $a The AAR mission is unique because of the potentially severe sky blockage introduced by the tanker. To address this issue, a high-fidelity dynamic sky blockage model was developed and experimentally validated. In addition, robust carrier phase differential GPS navigation algorithms were derived, including a new method for high-integrity reacquisition of carrier cycle ambiguities for recently-blocked satellites. In order to evaluate navigation performance, world-wide global availability and sensitivity covariance analyses were conducted. The new navigation algorithms were shown to be sufficient for turn-free scenarios, but improvement in performance was necessary to meet the difficult requirements for a general refueling mission with banked turns. Therefore, several innovative methods were pursued to enhance navigation performance.
520 $a First, a new theoretical approach was developed to quantify the position-domain integrity risk in cycle ambiguity resolution problems. A mechanism to implement this method with partially-fixed cycle ambiguity vectors was derived, and it was used to define tight upper bounds on AAR navigation integrity risk. A second method, where a new algorithm for optimal fusion of measurements from multiple antennas was developed, was used to improve satellite coverage in poor visibility environments such as in AAR. Finally, methods for using data-link extracted measurements as an additional inter-vehicle ranging measurement were also introduced.
520 $a The algorithms and methods developed in this work are generally applicable to realize high-performance GPS-based navigation in partially obstructed environments. Navigation performance for AAR was quantified through covariance analysis, and it was shown that the stringent navigation requirements for this application are achievable. Finally, a real-time implementation of the algorithms was developed and successfully validated in autopiloted flight tests.
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