ACC2014 revised.pdf (367.92 kB)
Failure boundary estimation for lateral collision avoidance manoeuvres
conference contribution
posted on 2014-10-10, 12:27 authored by James Dunthorne, Wen-Hua Chen, Sarah DunnettSarah DunnettThis paper proposes a method for predicting the
point at which a simple lateral collision avoidance manoeuvre
fails. It starts by defining the kinematic failure boundary
for a range of conflict geometries and velocities. This relies
on the assumption that the ownship aircraft is able to turn
instantaneously. The dynamics of the ownship aircraft are
then introduced in the form of a constant rate turn model.
With knowledge of the kinematic boundary, two optimisation
algorithms are used to estimate the location of the real
failure boundary. A higher fidelity simulation environment
is used to compare the boundary predictions. The shape of
the failure boundary is found to be heavily connected to the
kinematic boundary prediction. Some encounters where the
ownship aircraft is travelling slower than the intruder were
found to have large failure boundaries. The optimisation
method is shown to perform well, and with alterations to
the turn model, its accuracy can be improved. The paper
finishes by demonstrating how the failure boundary is used to
determine accurate collision avoidance logic. This is expected to
significantly reduce the size and complexity of the verification
problem.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Published in
American Control ConferencePages
1186 - 1191Citation
DUNTHORNE, J., CHEN, W-H. and DUNNETT, S., 2014. Failure boundary estimation for lateral collision avoidance manoeuvres. American Control Conference, Portland USA, 4-6 June 2014, pp. 1186 - 1191.Publisher
© IEEEVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2014Notes
This is a conference paper [© 2014 IEEE]. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.ISBN
978-1-4799-3272-6ISSN
0743-1619Publisher version
Language
- en