TY - GEN
T1 - A stochastic reachability analysis approach to aircraft conflict detection and resolution
AU - Yang, Yang
AU - Zhang, Jun
AU - Cai, Kai Quan
AU - Prandini, Maria
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/9
Y1 - 2014/12/9
N2 - This paper addresses aircraft conflict detection and resolution from a stochastic reachability analysis perspective. A characterization of the uncertainty on the aircraft future positions due to the presence of wind is obtained in terms of probabilistic reach sets. This involves formulating a chance-constrained optimization problem and solving it approximately via simulation, according to the so-called scenario approach. Conflict prediction can then be performed by verifying if reach sets of different aircraft get closer than some minimum safety distance. When a conflict is detected, then, the aircraft flight plans are modified so as to minimize the traveled distance while maintaining reach sets at some appropriate distance. A numerical example shows the efficacy of the proposed approach.
AB - This paper addresses aircraft conflict detection and resolution from a stochastic reachability analysis perspective. A characterization of the uncertainty on the aircraft future positions due to the presence of wind is obtained in terms of probabilistic reach sets. This involves formulating a chance-constrained optimization problem and solving it approximately via simulation, according to the so-called scenario approach. Conflict prediction can then be performed by verifying if reach sets of different aircraft get closer than some minimum safety distance. When a conflict is detected, then, the aircraft flight plans are modified so as to minimize the traveled distance while maintaining reach sets at some appropriate distance. A numerical example shows the efficacy of the proposed approach.
UR - https://www.scopus.com/pages/publications/84920532186
U2 - 10.1109/CCA.2014.6981611
DO - 10.1109/CCA.2014.6981611
M3 - Conference contribution
AN - SCOPUS:84920532186
T3 - 2014 IEEE Conference on Control Applications, CCA. Part of 2014 IEEE Multi-conference on Systems and Control, MSC 2014
SP - 2089
EP - 2094
BT - 2014 IEEE Conference on Control Applications, CCA. Part of 2014 IEEE Multi-conference on Systems and Control, MSC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Conference on Control Applications, CCA 2014
Y2 - 8 October 2014 through 10 October 2014
ER -