Abstract
This chapter is concerned with dynamically determining appropriate flight patterns for a set of autonomous UAVs in an urban environment, with multiple mission goals. The UAVs are tasked with searching the urban region for targets of interest and tracking those targets that have been detected. It is assumed that there are limited communication capabilities between the UAVs and that there exist possible line of sight constraints between the UAVs and the targets. Each UAV (i) operates its own dynamic feedback loop, in a receding-horizon framework, incorporating local information (from UAV i perspective) as well as remote information (from the perspective of the “neighbor” UAVs) to determine the task to perform and the optimal flight path of UAV i over the planning horizon. This results in a decentralized and more realistic model of the real- world situation. As the coupled task assignment and flight route optimization formulation is NP-hard, a hybrid heuristic for continuous global optimization is developed to solve for the flight plan and tasking over the planning horizon. Experiments are considered as communication range between UAVs varies.
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References
A. Ahmadzadeh, G. Buchman, P. Cheng, A. Jadbabaie, J. Keller, V. Kumar, G. Pappas, Cooperative control of UAVs for search and coverage, in Proceedings of the AUVSI Conference on Unmanned Systems, (Orlando, Florida, 2006)
D. Akselrod, A. Sinha, T. Kirubarajan, Collaborative distributed sensor management to multitarget tracking using hierarchical Markov decision processes, in Proceedings of SPIE: Signal and Data Processing of Small Targets, San Diego, vol. 6699, ed. by O.E. Drummond, R.D. Teich- graeber (SPIE, Bellingham, 2007), pp. 1–14
R.J. Bamburger, D.P. Watson, D.H. Scheidt, K.L. Moore, Flight demonstrations of unmanned aerial vehicle swarming concepts. Johns Hopkins APL Tech. Dig. 27(1), 41–55 (2006)
A. Bicchi, G. Casalino, C. Santilli, Planning shortest bounded-curvature paths for a class of nonholonomic vehicles among obstacles, in Proceedings of the IEEE International Conference on Robotics and Automation, Nagoya, 1995, pp. 1349–1354
S. Blackman, R. Popoli, Design and Analysis of Modern Tracking Systems (Artech House, Boston, 1999)
E. A. Doucette, A.J. Sinclair, D.E. Jeffcoat, Simultaneous localization and planning for cooperative air munitions via dynamic programming, in Optimization and Cooperative Control Strategies, ed. by M.J. Hirsch, C.W. Commander, P.M. Pardalos, R. Murphey (Springer, Berlin/London, 2009), pp. 69–79
L.E. Dubins, On curves of minimal length with a constraint on average curvature, and with prescribed initial and terminal positions and tangents. Am. J. Math. 79(3), 497–516 (1957)
T.A. Feo, M.G.C. Resende, A probabilistic heuristic for a computationally difficult set covering problem. Oper. Res. Lett. 8, 67–71 (1989)
T.A. Feo, M.G.C. Resende, Greedy randomized adaptive search procedures. J. Global Optim. 6, 109–133 (1995)
P. Festa, M.G.C. Resende, GRASP: an annotated bibliography, in Essays and Surveys in Meta-heuristics, ed. by C.C. Ribeiro, P. Hansen (Kluwer, Boston, 2002), pp. 325–367
M.R. Garey, D.S. Johnson, Computers and Intractability: A Guide to the Theory of NP- Completeness (W.H. Freeman, San Francisco, 1979)
A. Gelb, Applied Optimal Estimation (MIT, Cambridge, 1974)
G. Gu, P.R. Chandler, C.J. Schumacher, A. Sparks, M. Pachter, Optimal cooperative sensing using a team of UAVs. IEEE Trans. Aerosp. Electron. Syst. 42(4), 1446–1458 (2006)
M.J. Hirsch, H. Ortiz-Pena, Autonomous network connectivity and cooperative control for multiple target tracking, in Proceedings of the 27th Army Science Conference, Orlando, 2010
M.J. Hirsch, H. Ortiz-Pena, N. Sapankevych, R. Neese, Efficient flight formation for tracking of a ground target, in Proceedings of the National Fire Control Symposium, San Diego, 2007, pp. 1–16
M.J. Hirsch, H. Ortiz-Pena, M. Sudit, Decentralized cooperative urban tracking of multiple ground targets by a team of autonomous UAVs, in Proceedings of the 14th International Conference on Information Fusion, Chicago, 2011, pp. 1196–1202
M.J. Hirsch, H. Ortiz-Pena, C. Eck, Cooperative tracking of multiple targets by a team of autonomous UAVs. Int. J. Oper. Res. Inf. Syst. 3(1), 53–73 (2012)
ILOG CPLEX, http://www.ilog.com/products/cplex. Accessed Oct 2008
K. Jiang, L.D. Seneviratne, S.W.E. Earles, A shortest path based path planning algorithm for nonholonomic mobile robots. J. Intell. Rob. Syst. 24, 347–366 (1999)
R.J. Kenefic, Finding good Dubins tours for UAVs using particle swarm optimization. J. Aerosp. Comput. Inf. Commun. 5, 47–56 (2008)
J. Kennedy, R. Eberhart, Particle swarm optimization, in Proceedings of the IEEE International Conference on Neural Neworks, Australia, 1995, pp. 1942–1948
D. Kingston, R. Beard, UAV splay state configuration for moving targets in wind, in Advances in Cooperative Control and Optimization, ed. by M.J. Hirsch, P.M. Pardalos, R. Murphey, D. Grundel (Springer, Berlin, 2007), pp. 109–129
S. Kirkpatrick, C.D. Gelatt, M.P. Vecchi, Optimization by simulated annealing. Science 220(4598), 671–680 (1983)
S.M. LaValle, Planning Algorithms (Cambridge University Press, Cambridge, 2006)
D. Lerro, Y. Bar-Shalom, Tracking with debiased consistent converted measurements versus EKF. IEEE Trans. Aerosp. Electron. Syst. 29(3), 1015–1022 (1993)
Z. Liang, W.A. Chaovalitwongse, A.D. Rodriguez, D.E. Jeffcoat, D.A. Grundel, J.K. O’Neal, Optimization of spatiotemporal clustering for target tracking from multi-sensor data. IEEE Trans. Syst. Man Cybern. (C) 40(2), 176–188 (2010)
C.S. Ma, R.H. Miller, Mixed integer linear programming trajectory generation for autonomous nap- of-the-earth flight in a threat environment, in Proceedings of the IEEE Aerospace Conference,Big Sky, 2005, pp. 1–9
M. Matsumoto, T. Nishimura, Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator. ACM Trans. Model. Comput. Simul. 8(1), 3–30 (1998)
P.S. Maybeck, Stochastic Models, Estimation, and Control, vol. I (Navtech Press, Arlington, 1994)
T.W. McLain, P.R. Chandler, M. Pachter, A decomposition strategy for optimal coordination of unmanned air vehicles, in Proceedings of American Control Conference, Chicago, 2000, pp. 369–373
F. Rafi, S. Khan, K. Shafiq, M. Shah, Autonomous target following by unmanned aerial vehicles, in Proceedings of SPIE: Unmanned Systems Technology VIII, Orlando, vol. 6230, ed. by G.R. Gerhart, C.M. Shoemaker, D.W. Gage (SPIE, Bellingham, 2006), pp. 1–8
C. Santilli, A. Bicchi, G. Casalino, A. Balestrino, Nonholonomic, bounded curvature path planning in cluttered environments, in Proceedings of the Conference on Emerging Technologies and Factory Automation, Paris, vol. 2, 1995, pp. 363–372
T. Schouwenaars, B. De Moor, E. Feron, J. How, Mixed-integer programming for multivehicle path planning, in Proceedings of the European Control Conference, Porto, 2001, pp. 2603–2608
C. Schumacher, T. Shima, Single-task tours, in UAV Cooperative Decision and Control, ed. by T. Shima, S. Rasmussen (SIAM, Philadelphia, 2009), pp. 15–36
J.G. Semple, G.T. Kneebone, Algebraic Projective Geometry (Oxford University Press, New York, 1952)
V.K. Shetty, M. Sudit, R. Nagi, Priority-based assignment and routing of a fleet of unmanned combat aerial vehicles. Comput. Oper. Res. 35(6), 1813–1828 (2008)
T. Shima, S. Rasmussen, UAV Cooperative Decision and Control (SIAM, Philadelphia, 2009)
A.J. Sinclair, R.J. Prazenica, D.E. Jeffcoat, Simultaneous localization and planning for cooperative air munitions, in Advances in Cooperative Control and Optimization, ed. by M.J. Hirsch, P.M. Pardalos, R. Murphey, D. Grundel (Springer, Berlin, 2007), pp. 81–94
A. Sinha, T. Kirubarajan, Y. Bar-Shalom, Optimal cooperative placement of UAVs for ground target tracking with doppler radar, in Proceedings of SPIE: Signal processing, Sensor Fusion, and Target Recognition XIII, Orlando, vol. 5429, ed. by I. Kadar (SPIE, Bellingham, 2004), pp. 95–104
A. Sinha, T. Kirubarajan, Y. Bar-Shalom, Autonomous ground target tracking by multiple cooperative UAVs. Proceedings of the IEEE Aerospace Conference, Big Sky, 2005, pp. 1–9
M. Steinberg, Intelligent autonomy for unmanned naval vehicles, in Proceedings of SPIE: Unmanned Systems Technology VIII, Kissimmee, vol. 230, ed. by G.R. Gerhart, C.M. Shoemaker, D.W. Gage (SPIE, Bellingham, 2006), pp. 1–12
J. Stolfi, Oriented Projective Geometry: A Framework for Geometric Computations (Elsevier, Palo Alto, California, 1991)
C.A. Sylvester, G.J. Wiens, N.G. Fitz-Coy, Control of collaborative mobile robots subject to nonholonomic constraints, in Proceedings of the International Symposium on Collaborative Technologies and Systems, San Diego, 2004
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Hirsch, M.J., Schroeder, D. (2015). On the Decentralized Cooperative Control of Multiple Autonomous Vehicles. In: Valavanis, K., Vachtsevanos, G. (eds) Handbook of Unmanned Aerial Vehicles. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9707-1_112
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DOI: https://doi.org/10.1007/978-90-481-9707-1_112
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