TY - GEN
T1 - Nonlinear model predictive control for optimal aircraft sequencing
AU - Grüter, Benedikt
AU - Diepolder, Johannes
AU - Piprek, Patrick
AU - Akman, Tugba
AU - Holzapfel, Florian
N1 - Publisher Copyright:
© 31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018. All rights reserved.
PY - 2018
Y1 - 2018
N2 - A real-time, bi-level feedback control algorithm for assigning arrival times is presented, which are optimal with regard to the cumulated fuel consumption of inbound aircraft. The bi-level structure implements the solution of optimal control problems for each individual aircraft to determine the minimum fuel consumption for the assigned arrival time. Additional constraints are included in the upper level to assure safe time separations at the merge point. After obtaining the solution of the original problem at the initial time point, the bi-level problem is approximated by a blended quadratic program. This program provides a prediction and correction of the optimal arrival times for the next time point and the respective change in initial states of all aircraft. Furthermore, exact solutions for the lower level optimal control problems are calculated for the updated arrival times. The algorithm is successfully validated for a example of nine aircraft and a frequency of six updates per minute for the arrival time assignment.
AB - A real-time, bi-level feedback control algorithm for assigning arrival times is presented, which are optimal with regard to the cumulated fuel consumption of inbound aircraft. The bi-level structure implements the solution of optimal control problems for each individual aircraft to determine the minimum fuel consumption for the assigned arrival time. Additional constraints are included in the upper level to assure safe time separations at the merge point. After obtaining the solution of the original problem at the initial time point, the bi-level problem is approximated by a blended quadratic program. This program provides a prediction and correction of the optimal arrival times for the next time point and the respective change in initial states of all aircraft. Furthermore, exact solutions for the lower level optimal control problems are calculated for the updated arrival times. The algorithm is successfully validated for a example of nine aircraft and a frequency of six updates per minute for the arrival time assignment.
KW - Aircraft Sequencing
KW - Arrival Management
KW - Nonlinear Model Predictive Control
KW - Optimal Control
KW - Trajectory Optimization
UR - https://www.scopus.com/pages/publications/85060442846
M3 - Conference contribution
AN - SCOPUS:85060442846
T3 - 31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018
BT - 31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018
PB - International Council of the Aeronautical Sciences
T2 - 31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018
Y2 - 9 September 2018 through 14 September 2018
ER -