|

The spatial flight route planning of unmanned aerial vehicles using the methods of mixed-integer linear programming

Authors: Tan Liguo, Fomichev A.V. Published: 08.04.2016
Published in issue: #2(107)/2016  
DOI: 10.18698/0236-3933-2016-2-53-66

 
Category: Aviation, Rocket and Space Engineering | Chapter: Dynamics, Ballistics, Flying Vehicle Motion Control  
Keywords: unmanned aerial vehicle, flight route planning, weight coefficient, mixed-integer linear programming, model predictive control

This work examines a new approach to solving the problem of spatial flight route planning of unmanned aerial vehicles (UAV) in real-time. The approach hinges upon mixed-integer linear programming (MILP). This algorithm fully takes the limitations of UAV maneuvering capabilities into account, and it is especially suitable for the unknown environment or in a situation of gradual discovery of the environment in the real flight conditions. The simulation results illustrated that using the proposed approach when solving the problem ofUAV motion control in real-time with obstacles is of great importance.

References

[1] Tan Liguo, Fomichev A.V., Liu Yan. Flight planning solution of unmanned aerial vehicle in complex terrain. Avtomatizaciya i sovremennie tehnologii [Automation. Modern technology], 2015, no. 7, pp. 19-24 (in Russ.).

[2] Tan Liguo, Fomichev A.V. Planning trajectory unmanned aerial vehicle using the method of model predictive control. Tr. XXXVIII akademicheskih chtenii po kosmonavtike, posvyaschennyh pamyati akademika S.P. Koroleva i drugih vidayuschihsya otechestvennih uchenih-pionerov osvoeniya kosmicheskogo prostranstva [Proc. of the XXXVIII academic Conference on Astronautics Dedicated to the Memory of Academician S.P. Korolev and Other Outstanding Domestic Scientists - the Pioneers of Space Exploration]. Moscow, 2014, pp. 489-494 (in Russ.).

[3] Tan Liguo, Fomichev A.V. Real-time planning of flight route small unmanned aerial vehicles in conditions of uncertainty. Mezhdunar nauch.-tehn. konf. "Informacionnie sistemi i tehnologii" IST-2015 [International scientific and technical conference "Information systems and technologies" IST-2015], Nizhny Novgorod, 2015, pp. 273276 (in Russ.).

[4] Yoshiaki Kuwata. Real-time Trajectory Design for Unmanned Aerial Vehicles using Receding Horizon Control: the example of the Massachusetts Institute of Technology: Dissertation Ph.D. watered. Sciences, 2003. 151 p.

[5] Richards A.G., How J.P. Mixed-integer programming for control. Proceedings of the American Control Conference, 2005, vol. 4, pp. 2676-2683.

[6] Jadbabaie A. Receding Horizon Control of Nonlinear Systems: A Control Lyapunov Function Approach: PhD Dissertation. California Institute of Technology. Pasadena, 2000. 120 p.

[7] Schouwenaars T., Moor B.D., Feron E., How J. Mixed integer programming for multi-vehicle path planning. Proceedings of the European Control Conference 2001, 2001, pp. 2603-2608.

[8] Dunbar W.B., Murray R.M. Model predictive control of coordinated multi-vehicle formations. Proceedings of the 41st IEEE Conference on Decision and Control. Las Vegas, 2002, vol. 4, pp. 4631-4636.

[9] Collection of Chinese weapons. www.zgjunshi.com: daily Internet edition, 20.07.2010. Available at: http://www.zgjunshi.com/Article/Class38/Class60/Class68/201007/20100729132319.html (accessed 24.05.2015).

[10] Mushenko A.S. Synergetic synthesis of interrelated laws control the longitudinal movement of aircraft. Izvestiya Yuzhnogo federalnogo universiteta. Tehnicheskie nauki [News of South Federal University. Engineering Sciences], 2006, vol. 61, no. 6, pp. 222-226 (in Russ.).

[11] Afonin A.A., Sulakov A.S., Yamashev G.G., Mihailin D.A., Mirzoyan L.A., Kurmakov D.V. About possibility of constructing of strapdown control navigation gravimetric complex UAV. Trudy MAI. Elektron. Jurnal [Electronic journal "Trudy MAI"], 2013, no. 66. Available at: http://mai.ru/publications/index.php?ID=40812 (accessed 04.06.2015).

[12] Plotnikov A.D. Matematicheskoe programmirovanie: ekspress-kurs [Mathematical programming]. Minsk, Novoe znanie Publ., 2007. 171 p.

[13] Ren Bo, Yu Lei, Han Lixun. On path planning for UAVs based on adaptive ant system algorithm. Electronics Optics and Control, 2007, vol. 6, no. 14, pp. 36-39.