Trajectory design and control for aggressive formation flight with quadrotors
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In this work we consider the problem of controlling a team of micro-aerial vehicles moving quickly through a three-dimensional environment while maintaining a tight formation. The formation is specified by shape vectors which prescribe the relative separations and bearings between the robots. To maintain the desired shape, each robot plans its trajectory independently based on its local information of other robot plans and estimates of states of other robots in the team. We explore the interaction between nonlinear decentralized controllers, the fourth-order dynamics of the individual robots, time delays in the network, and the effects of communication failures on system performance. Simulations as well as an experimental evaluation of our approach on a team of quadrotors suggests that suitable performance is maintained as the formation motions become increasingly aggressive and as communication degrades.
KeywordsMicro-aerial vehicles Formation control Finite horizon control
- Franchi, A., Giordano, P., Secchi, C., Son, H., & Bülthoff, H. (2011). A passivity-based decentralized approach for the bilateral teleoperation of a group of uavs with switching topology. In Proc. IEEE intl conf. on robotics & automation. Google Scholar
- Keviczky, T., & Johansson, K. (2008). A study on distributed model predictive consensus. arXiv:0802.4450.
- Lee, T. (2011). Geometric tracking control of the attitude dynamics of a rigid body on SO(3). In Proc. of the Amer. control conf., San Francisco, CA. Google Scholar
- Lee, T., Leok, M., & McClamroch, N. H. (2010). Geometric tracking control of a quadrotor UAV on SE(3). In Proc. of the IEEE conf. on decision and control, Atlanta, GA. Google Scholar
- Mellinger, D., & Kumar, V. (2011). Minimum snap trajectory generation and control for quadrotors. In Proc. of the IEEE intl. conf. on robot. and autom., Shanghai, China. Google Scholar
- Mellinger, D., Michael, N., & Kumar, V. (2010). Trajectory generation and control for precise aggressive maneuvers with quadrotors. In Proc. of the intl. sym. on exp. robot., Delhi, India. Google Scholar
- Ogren, P., Fiorelli, E., & Leonard, N. (2002). Formations with a mission: stable coordination of vehicle group maneuvers. In Proc. of intl. sym. on mathematical theory networks and syst., Notre Dame, IN. Google Scholar
- Olfati-Saber, R., & Murray, R. M. (2002). Distributed cooperative control of multiple vehicle formations using structural potential functions. In Proc. of the IFAC world congress, Barcelona, Spain. Google Scholar
- Shim, D., Kim, H., & Sastry, S. (2003). Decentralized nonlinear model predictive control of multiple flying robots. In Decision and control, 2003. Proceedings. 42nd IEEE conference on (Vol. 4, pp. 3621–3626). New York: IEEE. Google Scholar
- Tabuada, P., Pappas, G. J., & Lima, P. (2001). Feasible formations of multi-agent systems. In Proc. of the Amer. control conf., Arlington, VA (pp. 56–61). Google Scholar
- Tanner, H., Pappas, G. J., & Kumar, V. (2002). Input-to-state stability on formation graphs. In Proc. of the IEEE intl. conf. on robot. and autom., Las Vegas, NV (pp. 2439–2444). Google Scholar
- Turpin, M., Michael, N., & Kumar, V. (2011). Trajectory design and control for aggressive formation flight with quadrotors. In Proc. of the intl. sym. of robotics research, Flagstaff, AZ. Google Scholar