Trajectory optimization with detection avoidance for visually identifying an aircraft
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2005.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2006
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| Online Access: | http://hdl.handle.net/1721.1/32458 |
| _version_ | 1811079786686054400 |
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| author | Wholey, Leonard N. (Leonard Nathaniel) |
| author2 | Leena Singh and Brent Appleby. |
| author_facet | Leena Singh and Brent Appleby. Wholey, Leonard N. (Leonard Nathaniel) |
| author_sort | Wholey, Leonard N. (Leonard Nathaniel) |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2005. |
| first_indexed | 2024-09-23T11:20:27Z |
| format | Thesis |
| id | mit-1721.1/32458 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T11:20:27Z |
| publishDate | 2006 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/324582019-04-11T00:51:28Z Trajectory optimization with detection avoidance for visually identifying an aircraft Wholey, Leonard N. (Leonard Nathaniel) Leena Singh and Brent Appleby. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2005. Includes bibliographical references (p. 115-118). Unmanned aerial vehicles (UAVs) play an essential role for the US Armed Forces by performing missions deemed as "dull, dirty and dangerous" for a pilot. As the capability of UAVs expand. they will perform a broader range of missions such as air-to-air combat. The focus of this thesis is forming trajectories for the closing phase of an air-to-air combat scenario. A UAV should close with the suspected aircraft in a manner that allows a ground operator to visually identify the suspected aircraft while avoiding visual/electronic detection from the other pilot. This thesis applies and compares three methods for producing trajectories which enable a visual identification. The first approach is formulated as a mixed integer linear programming problem which can be solved in real time. However, there are limitations to the accuracy of a radar detection model formed with only linear equations, which might justify using a nonlinear programming formulation. With this approach the interceptor's radar cross section and range between the suspected aircraft and interceptor can be incorporated into the problem formulation. The main limitation of this method is that the optimization software might not be able to reach online an optimal or even feasible solution. The third applied method is trajectory interpolation. In this approach, trajectories with specified boundary values and dynamics are formed offline; online, the method interpolates between the given trajectories to obtain similar maneuvers with different initial conditions and end- states. With this method, because the number of calculations required to produce a feasible trajectory is known, the amount of time to calculate a trajectory can be estimated. by Leonard N. Wholey. S.M. 2006-03-29T18:46:21Z 2006-03-29T18:46:21Z 2005 2005 Thesis http://hdl.handle.net/1721.1/32458 61751445 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 118 p. 4885086 bytes 4892164 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Aeronautics and Astronautics. Wholey, Leonard N. (Leonard Nathaniel) Trajectory optimization with detection avoidance for visually identifying an aircraft |
| title | Trajectory optimization with detection avoidance for visually identifying an aircraft |
| title_full | Trajectory optimization with detection avoidance for visually identifying an aircraft |
| title_fullStr | Trajectory optimization with detection avoidance for visually identifying an aircraft |
| title_full_unstemmed | Trajectory optimization with detection avoidance for visually identifying an aircraft |
| title_short | Trajectory optimization with detection avoidance for visually identifying an aircraft |
| title_sort | trajectory optimization with detection avoidance for visually identifying an aircraft |
| topic | Aeronautics and Astronautics. |
| url | http://hdl.handle.net/1721.1/32458 |
| work_keys_str_mv | AT wholeyleonardnleonardnathaniel trajectoryoptimizationwithdetectionavoidanceforvisuallyidentifyinganaircraft |