Multiobjective Mission Planning for UAV under Uncertain Environment

Abstract:

The combat environment of Unmanned Aerial Vehicles (UAVs) is filled with uncertain factors, which is complex and dynamic. This paper is devoted to the UAV mission planning problem under uncertain environment with three optimization objectives, such as flight time, fuel usage and threat imposed by enemy. Based on the uncertainty theory and multiobjective programming method, the UAV uncertain multiobjective mission plaaning model is built and solved.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 4435-4438
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.4435
• Online since: May 2014
• Authors: Jing Yao Zhu*, Qi Fang He, Tie Zhu Wang, Zu Tong Wang
• Keywords: Mission Planning, Multiobjective Programming, Uncertainty Theory, Unmanned Aerial Vehicle (UAV)

References

[1] Hutchison M G. A method for estimating range requirements of tactical reconnaissance UAVs[C]∥Proceedings of AIAA's 1st Technical Conference and Workshop on Unmanned Aerospace Vehicles. Virginia: [ s. n. ], 2002: 1-12.

DOI: 10.2514/6.2002-3438

[2] Xingguang Peng, Xiaoguang Gao. A multi-objective optimal approach for UAV routing in reconnaissance mission with stochastic observation time. Foundation of Intelligent Systems Lecture Notes in Computer Science, Volume 4994, 246-255, （2008）.

DOI: 10.1007/978-3-540-68123-6_27

[3] Bortoff, S. A. Path planning for UAVs. In Proc. of the American Control Conference, Chicago, IL, 364–368, （2000）.

[4] Adam J. Pohl, Gary B. Lamont. Multi-Objective UAV Mission Planning Using Evolutionary Computation. Proceedings of the 2008 Winter Simulation Conference, 1268-1279, (2000).

DOI: 10.1109/wsc.2008.4736199

[5] Ryan J L, Bailey T G, Moore J T, et al. Reactive tabu search in unmanned aerial reconnaissance simulations. Proceedings of Winter Simulation Conference, 873-879, ( 2000).

DOI: 10.1109/wsc.1998.745084

[6] J. O. Royset and D. N. Reber. Optimized routing of unmanned aerial systems for the interdiction of improvised explosive devices. Military Operations Research, 3(4): 2917-2922, (2010).

DOI: 10.5711/morj.14.4.5

[7] J. J. Enright, E. Frazzoli. On multiple uav routing with stochastic targets: performance bounds and algorithms, Proc. of the AIAA Conf. on Guidance, Navigation, and Control, DOI: 10. 2514/6. 2005-5830, （2005）.

DOI: 10.2514/6.2005-5830

[8] John J. Enright, Emilio Frazzoli, Marco Pavone, Ketan Savla. Uav routing in a stochastic, time-varying environment, Proceedings of the 16th IFAC World Congress, Vol. 16, 2009-2009, ( 2005).

DOI: 10.3182/20050703-6-cz-1902.02010

[9] Liu B. Uncertainty Theory. 2nd ed., Berlin: Springer-Verlag, （2007）.

[10] Liu B. Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty. Berlin: Springer-Verlag（2010）.