A sequencing model for a team of aircraft landing on the carrier

Abstract Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier.

[1]  Nicholas Roy,et al.  Comparing the Performance of Expert User Heuristics and an Integer Linear Program in Aircraft Carrier Deck Operations , 2014, IEEE Transactions on Cybernetics.

[2]  David Abramson,et al.  Scheduling Aircraft Landings - The Static Case , 2000, Transp. Sci..

[3]  Jorge A. Ruiz-Vanoye,et al.  A Survey of Transportation Problems , 2014, J. Appl. Math..

[4]  David Abramson,et al.  Displacement problem and dynamically scheduling aircraft landings , 2004, J. Oper. Res. Soc..

[5]  Haibin Duan,et al.  Simplified brain storm optimization approach to control parameter optimization in F/A-18 automatic carrier landing system , 2015 .

[6]  A. L. Prickett,et al.  Flight testing of the F/A-18E/F automatic carrier landing system , 2001, 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542).

[7]  Raik Stolletz,et al.  A dynamic programming approach for the aircraft landing problem with aircraft classes , 2015 .

[8]  Robert Niewoehner,et al.  REVIEW OF THE CARRIER APPROACH CRITERIA FOR CARRIER-BASED AIRCRAFT PHASE I; FINAL REPORT , 2002 .

[9]  Hamsa Balakrishnan,et al.  Algorithms for Scheduling Runway Operations Under Constrained Position Shifting , 2010, Oper. Res..

[10]  Paolo Toth,et al.  Improved rolling horizon approaches to the aircraft sequencing problem , 2015, J. Sched..

[11]  Shinji Suzuki,et al.  Rule derivation for arrival aircraft sequencing , 2013 .

[12]  Jun Zhang,et al.  An Efficient Ant Colony System Based on Receding Horizon Control for the Aircraft Arrival Sequencing and Scheduling Problem , 2010, IEEE Transactions on Intelligent Transportation Systems.

[13]  Karlene H. Roberts,et al.  The Self-Designing High-Reliability Organization: Aircraft Carrier Flight Operations at Sea , 1987 .

[14]  Kevin MacG. Adams,et al.  The US Navy carrier strike group as a system of systems , 2011, Int. J. Syst. Syst. Eng..

[15]  Matteo Ignaccolo,et al.  Genetic algorithms for solving the aircraft-sequencing problem: the introduction of departures into the dynamic model , 2004 .

[16]  Thomas Stützle,et al.  Ant Colony Optimization , 2009, EMO.

[17]  Inseok Hwang,et al.  Optimal Arrival Flight Sequencing and Scheduling Using Discrete Airborne Delays , 2010, IEEE Transactions on Intelligent Transportation Systems.

[18]  Giancarlo Prati,et al.  Blind Equalization and Carrier Recovery Using a "Stop-and-Go" Decision-Directed Algorithm , 1987, IEEE Trans. Commun..

[19]  Liu Ai-don Application of Particle Swarm Algorithm Based on Simulated Annealing for Carrier Aircraft's Recovery , 2014 .

[20]  Jin Tian,et al.  Controllability-involved risk assessment model for carrier-landing of aircraft , 2012, 2012 Proceedings Annual Reliability and Maintainability Symposium.

[21]  Thomas Stützle,et al.  Ant colony optimization: artificial ants as a computational intelligence technique , 2006 .

[22]  Yosef S. Sherif,et al.  AN ALGORITHM FOR COMPUTER ASSISTED SEQUENCING AND SCHEDULING OF TERMINAL AREA OPERATIONS , 1991 .

[23]  Ahmed Ghoniem,et al.  A column generation approach for aircraft sequencing problems: a computational study , 2015, J. Oper. Res. Soc..

[24]  Yosef S. Sherif,et al.  The dynamic scheduling of aircraft in high density terminal areas , 1989 .

[25]  Ghaith Rabadi,et al.  Greedy algorithms and metaheuristics for a multiple runway combined arrival-departure aircraft sequencing problem , 2013 .

[26]  Yu Wu,et al.  Obstacle avoidance and path planning for carrier aircraft launching , 2015 .

[27]  Todd R. La Porte,et al.  Theoretical and operational challenges of “high-reliability organizations”: air-traffic control and aircraft carriers , 1998 .