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Leader following trajectory planning: A trailer-like approach. (English) Zbl 1351.93010

Summary: In this paper, a trajectory planner for \(n\) autonomous vehicles following a common leader is presented, with the planning being accomplished in real time and in a three dimensional setting. The trajectory planner is designed such that \(n\) follower vehicles behave as \(n\) distinct points of a unique two dimensional trailer attached to a single leader vehicle. We prove that for a wide range of initial conditions the trailer reference frame converges to a unique solution, meaning that convergence to a fixed formation of \(n + 1\) vehicles is guaranteed and each follower can plan its trajectory independently from its peers, thereby reducing the need for communication among vehicles. Bounds on the planned velocity and acceleration, provide conditions for the feasibility of the planned trajectory. An experimental validation of the planner’s behavior is presented with quadrotor vehicles, demonstrating the richness of the planned trajectories.

MSC:

93A14 Decentralized systems
93C10 Nonlinear systems in control theory
93B03 Attainable sets, reachability
Full Text: DOI

References:

[1] Balch, T.; Arkin, R. C., Behavior-based formation control for multi-robot teams, Transactions on Robotics and Automation, 14, 926-939 (1999)
[2] Bellingham, J. G.; Rajan, K., Robotics in remote and hostile environments, Science, 318, 5853, 1098-1102 (2007)
[5] Consolini, L.; Morbidi, F.; Prattichizzo, D.; Tosques, M., Leader-follower formation control of nonholonomic mobile robots with input constraints, Automatica, 44, 5, 1343-1349 (2008) · Zbl 1283.93015
[6] Cui, R.; Sam Ge, S.; How, B.; Choo, Y., Leader follower formation control of underactuated autonomous underwater vehicles, Ocean Engineering, 37, 1491-1502 (2010)
[7] Do, K. D.; Pan, J., Nonlinear formation control of unicycle-type mobile robots, Robotics and Autonomous Systems, 55, 3, 191-204 (2007)
[8] Fink, J.; Michael, N.; Kim, S.; Kumar, V., Planning and control for cooperative manipulation and transportation with aerial robots, The International Journal of Robotics Research, 30, 3 (2011) · Zbl 1250.93085
[9] Fliess, M.; Lévine, J.; Martin, P.; Rouchon, P., Flatness and defect of non-linear systems: introductory theory and examples, International Journal of Control, 61, 6, 1327-1361 (1995) · Zbl 0838.93022
[10] Hua, M.; Hamel, T.; Morin, P.; Samson, C., Introduction to feedback control of underactuated VTOL vehicles: A review of basic control design ideas and principles, Control Systems, 33, 1, 61-75 (2013) · Zbl 1395.93395
[11] Justh, E. W.; Krishnaprasad, P. S., Equilibria and steering laws for planar formations, Systems & Control Letters, 52, 1, 25-38 (2004) · Zbl 1157.93406
[12] Lawton, J. R.T.; Beard, R. W.; Young, B. J., A decentralized approach to formation maneuvers, Transactions on Robotics and Automation, 19, 6, 933-941 (2003)
[13] Leonard, Naomi Ehrich; Fiorelli, Edward, Virtual leaders, artificial potentials and coordinated control of groups, (Conf. on decision and control, vol. 3 (2001), IEEE), 2968-2973
[14] Levine, J., Analysis and control of nonlinear systems: A flatness-based approach (2009), Springer Science & Business Media · Zbl 1167.93001
[15] Lohmiller, W.; Slotine, J. E., On contraction analysis for non-linear systems, Automatica, 34, 6, 683-696 (1998) · Zbl 0934.93034
[17] Peng, Z.; Wen, G.; Rahmani, A.; Yu, Y., Leader-follower formation control of nonholonomic mobile robots based on a bioinspired neurodynamic based approach, Robotics and Autonomous Systems (2013)
[22] Wen, G.; Peng, Z.; Yu, Y.; Rahmani, A., Planning and control of three-dimensional multi-agent formations, IMA Journal of Mathematical Control and Information (2012)
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