TY - GEN
T1 - Flight trajectory optimization for modern jet passenger aircraft with dynamic programming
AU - Wickramasinghe, Navinda Kithmal
AU - Harada, Akinori
AU - Totoki, Hironori
AU - Miyamoto, Yuto
AU - Miyazawa, Yoshikazu
PY - 2014
Y1 - 2014
N2 - Future Air Transportation Systems (ATS) would eventually have to treat the ever increasing demands in aviation industry. Fuel consumption and flight time could be significantly reduced by modifying the current sector based system into a more relaxed user priority based ATS. Trajectory Based Operations (TBO) is considered as one of the key technologies in this transition. This paper concentrates on a proposed flight trajectory optimization tool based on Dynamic Programming (DP), meteorological data and an aircraft performance model to obtain fuel minimum 4D-optimal flight trajectories for a single jet passenger aircraft considering the effect of wind conditions. Major drawbacks such as "Curse of Dimensionality" in DP are overcome with a unique method called "Moving Search space Dynamic Programming (MS-DP)" method. A quantitative evaluation has revealed that an average reduction of 9% in fuel consumption could be achieved with a tradeoff of flight time which exceeds at an average of 7% compared to a series of flight data measured by a commercial GPS receiver in an airliner cabin.
AB - Future Air Transportation Systems (ATS) would eventually have to treat the ever increasing demands in aviation industry. Fuel consumption and flight time could be significantly reduced by modifying the current sector based system into a more relaxed user priority based ATS. Trajectory Based Operations (TBO) is considered as one of the key technologies in this transition. This paper concentrates on a proposed flight trajectory optimization tool based on Dynamic Programming (DP), meteorological data and an aircraft performance model to obtain fuel minimum 4D-optimal flight trajectories for a single jet passenger aircraft considering the effect of wind conditions. Major drawbacks such as "Curse of Dimensionality" in DP are overcome with a unique method called "Moving Search space Dynamic Programming (MS-DP)" method. A quantitative evaluation has revealed that an average reduction of 9% in fuel consumption could be achieved with a tradeoff of flight time which exceeds at an average of 7% compared to a series of flight data measured by a commercial GPS receiver in an airliner cabin.
UR - http://www.scopus.com/inward/record.url?scp=84902456692&partnerID=8YFLogxK
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U2 - 10.1007/978-4-431-54475-3_6
DO - 10.1007/978-4-431-54475-3_6
M3 - Conference contribution
AN - SCOPUS:84902456692
SN - 9784431544746
T3 - Lecture Notes in Electrical Engineering
SP - 87
EP - 104
BT - Air Traffic Management and Systems - Selected Papers of the 3rd ENRI International Workshop on ATM/CNS, EIWAC 2013
PB - Springer Verlag
T2 - 3rd ENRI International Workshop on ATM/CNS, EIWAC 2013
Y2 - 1 February 2013 through 1 February 2013
ER -