PROBLEM SETTING AND SOLUTION OF THE RESPONSE CORRECTION OF ARRIVAL AND DEPARTURE AIR TRAFFIC FLOW IN THE VICINITY OF THE FIELD BY MEANS OF THE GENETIC ALGORITHM
https://doi.org/10.26467/2079-0619-2017-20-4-8-17
Abstract
The improvement in the effectiveness of airfield operation largely depends on the problem solving quality on the interaction boundaries of different technological sections. One of such hotspots is the use of the same runway by inbound and outbound aircraft. At certain intensity of outbound and inbound air traffic flow the conflict of aircraft interests appears, where it may be quite difficult to sort out priorities even for experienced controllers, in consequence of which mistakes in decision-making unavoidably appear.
In this work the task of response correction of landing and takeoff time of the aircraft using the same RW, in condition of the conflict of interests “arrival – departure” at the increased operating intensity is formulated. The choice of optimal solution is made taking into account mutual interests without the complete sorting and the evaluation of all solutions.
Accordingly, the genetic algorithm, which offers a simple and effective approach to optimal control problem solution by providing flight safety at an acceptably high level, is proposed. The estimation of additional aviation fuel consumption is used as optimal choice evaluation criterion.
The advantages of the genetic algorithm application at decision-making in comparison with today’s “team” solution of the conflict “departure – arrival” in the airfield area are shown.
About the Authors
G. N. LebedevRussian Federation
Doctor of Technical Sciences, Professor of Automatic and Intelligent Control Chair of Moscow Aviation Institute (National research university)
V. B. Malygin
Russian Federation
Air Traffic Controller in Moscow Air Traffic Control Centre
D. A. Mikhaylin
Russian Federation
Candidate of Technical Sciences, Associate Professor of Moscow Aviation Institute (National Research University)
References
1. Lebedev G.N. et al. Teoriya optimalnyh sistem [The theory of optimum systems]. Moscow, MAI, 1993, 317 p. (in Russian)
2. Sobol E.M., Statnikov R.B. Vybor optimalnyh parametrov v zadachah so mnogimi kriteriyami [The selection of the optimum parameters in tasks with many criteria]. Moscow, Science, 1981, 110 p. (in Russian)
3. Lebedev G.N. et al. Planirovanie raboty kompyuternyh system individualnogo obucheniya I povyshenie ih effektivnosti [Planning of the work of the computer systems of individual training and an increase in their effectiveness]. The Bulletin of Computer and Information Technologies, 2009, no 11, pp. 47–54. (in Russian)
4. Zaytsev A.V., Talimanchuk L.L. Intellectualnaya sistema prinyatiya resheniy dlya otsenki nauchnoy deyatelnosti na osnove mnogosegmentnoy sistemy [Intellectual system of decision making for evaluating the scientific activity on the basis of the multisegment system]. Neurocomputers, 2008, no. 7, pp. 85–88. (in Russian)
5. Lebedev G.N., Balashov N.M. Intellektyalnye sistemy upravleniya [Intellectual systems for control]. M., MGGU, 2000, 117 p. (in Russian)
6. Lebedev G.N., Mirzojan L.A. Neyrosetevoe planirovanie dejstviy po obletu nazemnyih obektov gruppoy letatelnyih apparatov [Neural network action planning to fly around ground objects by a group of aircraft]. Aviakosmicheskoe priborostroenie, 2005, no. 12. (in Russian)
7. Lebedev G.N., Rumakina A.V. Neyrosetevoe planirovanie marshruta raznovyisotnogo poleta bespilotnogo letatelnogo apparata [Neural network path planning of a vari-level unmanned aircraft]. Aviakosmicheskoe priborostroenie, 2014, no. 5, pp. 3–8. (in Russian)
8. Lebedev G.N., Rumakina A.V. Sistema logicheskogo upravleniya obhodom prepyatstviy bespilotnyim letatelnyim apparatom pri marshrutnom polete [The logical control system with obstacle avoidance of an unmanned aircraft in flight route]. Elektronnyiy zhurnal «Trudy MAI» [Journal “Trudy MAI”], 2015, no. 83. (in Russian)
9. Kuzin A.V., Kurmakov D.V., Lukyanov A.V., Mihajlin D.A. Neyrosetevaya realizatsiya avtomaticheskogo upravleniya bezopasnoy posadkoy bespilotnogo letatelnogo apparata [The neural network implementation of the automatic control over the safe landing of an unmanned aicraft]. Elektronnyiy zhurnal «Trudy MAI» [Journal “Trudy MAI”], 2013, no. 70. (in Russian)
10. Lebedev G.N., Malygin V.B., Nechaev E.E. Algoritm naznacheniya prioritetnoy ocherednosti sluchayno raspolozhennyim v prostranstve vozdushnyim sudam dlya vyihoda na standartnyiy marshrut pribytiya [The algorithm used to assign the priority sequence randomly located in space aircraft for exit to the standard arrival route]. The Scientific Bulletin of MSTUCA, 2013, no. 198, pp. 31–36. (in Russian)
11. Lebedev G.N., Tin P.Ch., Zo M.T., Medvedev A.V. Upravlenie poletom passazhirskih samoletov pri peresechenii ih marshrutov vo vremya zahoda na posadku [Flight control passenger aircraft crossing their routes during landing]. Jelektronnyj zhurnal «Trudy MAI», 2013, no. 63. (in Russian)
Review
For citations:
Lebedev G.N., Malygin V.B., Mikhaylin D.A. PROBLEM SETTING AND SOLUTION OF THE RESPONSE CORRECTION OF ARRIVAL AND DEPARTURE AIR TRAFFIC FLOW IN THE VICINITY OF THE FIELD BY MEANS OF THE GENETIC ALGORITHM. Civil Aviation High Technologies. 2017;20(4):8-17. (In Russ.) https://doi.org/10.26467/2079-0619-2017-20-4-8-17