University of Maryland, and AIAA Associate Fellow.Ĭopyright © 2012 by the American Institute of Aeronautics and Astronautics, Inc. Graduate Student, Department of Aerospace Engineering, University of Maryland, and AIAA StudentĪssociate Professor, Department of Aerospace Engineering and the Institute for Systems Research, Theoretical results are illustrated using numerical These algorithms are extended to unknown flowfields by presenting a distributed, recursive Bayesian filter that provides local estimates of the flowįrom noisy flowspeed measurements, allowing particles to utilize flowfieldĮstimates in the control. The feasibility of speed-regulated trajectories and Lyapunov-based decentralized control algorithms to stabilize parallel formations in a known, uniform shear flow and symmetric circular formations in a known vortex flow. This paper presents results for motion coordination in an estimated flowfield with wind shear using a three-dimensional self-propelled particle model However, an autonomous or remotely piloted vehicleĬan also take advantage of the vertical variation of a windfield to maintainĪ desired inertial speed and to coordinate its motion with other vehicles.
The presence of a windfield canĭisrupt inter-vehicle spacing such that the group covers less area, expendsĮnergy at a faster rate, strays from a desired formation, or provides irregular measurement data. Windfields present a challenge to multi-vehicle coordination in applications such as environmental sampling.
University of Maryland, College Park, MD, 20742, USA AIAA Guidance, Navigation, and Control Conferenceġ3 - 16 August 2012, Minneapolis, Minnesotaĭownloaded by CARLETON UNIVERSITY LIBRARY on J| | DOI: 10.2514/6.2012-4696
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