On-board range-based relative localization for micro air vehicles in indoor leader–follower flight

Journal Article (2019)
Author(s)

Steven van der Helm (Student TU Delft)

Mario Coppola (TU Delft - Control & Simulation)

Kimberly McGuire (TU Delft - Control & Simulation)

G. C. H. E. de Croon (TU Delft - Control & Simulation)

Research Group
Control & Simulation
Copyright
© 2019 Steven van der Helm, M. Coppola, K.N. McGuire, G.C.H.E. de Croon
DOI related publication
https://doi.org/10.1007/s10514-019-09843-6
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Steven van der Helm, M. Coppola, K.N. McGuire, G.C.H.E. de Croon
Research Group
Control & Simulation
Issue number
3-4
Volume number
44
Pages (from-to)
415-441
Reuse Rights

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Abstract

We present a range-based solution for indoor relative localization by micro air vehicles (MAVs), achieving sufficient accuracy for leader–follower flight. Moving forward from previous work, we removed the dependency on a common heading measurement by the MAVs, making the relative localization accuracy independent of magnetometer readings. We found that this restricts the relative maneuvers that guarantee observability, and also that higher accuracy range measurements are required to rectify the missing heading information, yet both disadvantages can be tackled. Our implementation uses ultra wideband, for both range measurements between MAVs and sharing their velocities, accelerations, yaw rates, and height with each other. We showcased our implementation on a total of three Parrot Bebop 2.0 MAVs and performed leader–follower flight in a real-world indoor environment. The follower MAVs were autonomous and used only on-board sensors to track the same trajectory as the leader. They could follow the leader MAV in close proximity for the entire durations of the flights.