Real-time trajectory optimization and air traffic control simulation for noise abatement approach procedures
Name
56570130-MIT.pdf
Description
Full printable version
Size
8.36 MB
Format
Adobe PDF
Checksum (MD5)
f41dbf5ab137158fadb18c550c6bd6a0
Author(s)
Zou, Feng, 1977-
Advisor(s)
John-Paul Clarke.
Date Issued
2004
Publisher
Massachusetts Institute of Technology
Abstract
Aircraft noise is a major obstacle to the growth of aviation. This thesis presents an adaptive onboard real-time optimization algorithm and an Air Traffic Control simulation model that can minimize the aircraft approach noise and meet air traffic control targets and restrictions. The adaptive real-time optimization algorithm uses dynamic programming, nonlinear optimization, and receding horizon control to generate approach procedures. The resulting noise abatement trajectories compensate for environmental uncertainties, provide more flexibility to air traffic controllers and pilots, and improve airport efficiency while lowering community noise. The Air Traffic Control simulation model simulates a fleet approach with noise abatement approaches. Three different status displays are tested and compared in the simulation, and the optimal displays for controller are explored in the thesis.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.
Includes bibliographical references (p. 89-90).
Subjects
Aeronautics and Astronautics.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
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