Flexible collaborative transportation by a team of rotorcraft
Autor: | Hector Garcia de Marina, Ewoud J. J. Smeur |
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Rok vydání: | 2019 |
Předmět: |
0209 industrial biotechnology
Robot kinematics Computer science Payload Inversion (meteorology) 02 engineering and technology law.invention Nonlinear system Acceleration 020901 industrial engineering & automation law Control theory Autopilot 0202 electrical engineering electronic engineering information engineering Robot 020201 artificial intelligence & image processing Combined method |
Zdroj: | ICRA Marina, H G D & Smeur, E 2019, Flexible collaborative transportation by a team of rotorcraft . in 2019 International Conference on Robotics and Automation, ICRA 2019 ., 8794316, IEEE, I E E E International Conference on Robotics and Automation, vol. 2019-May, pp. 1074-1080, 2019 International Conference on Robotics and Automation, ICRA 2019, Montreal, Canada, 20/05/2019 . https://doi.org/10.1109/ICRA.2019.8794316 |
DOI: | 10.1109/icra.2019.8794316 |
Popis: | We propose a combined method for the collaborative transportation of a suspended payload by a team of rotorcraft. A recent distance-based formation-motion control algorithm based on assigning distance disagreements among robots generates the acceleration signals to be tracked by the vehicles. In particular, the proposed method does not need global positions nor tracking prescribed trajectories for the motion of the members of the team. The acceleration signals are followed accurately by an Incremental Nonlinear Dynamic Inversion controller designed for rotorcraft that measures and resists the tensions from the payload. Our approach allows us to analyze the involved accelerations and forces in the system so that we can calculate the worst case conditions explicitly to guarantee a nominal performance, provided that the payload starts at rest in the 2D centroid of the formation, and it is not under significant disturbances. For example, we can calculate the maximum safe deformation of the team with respect to its desired shape. We demonstrate our method with a team of four rotorcraft carrying a suspended object two times heavier than the maximum payload for an individual. Last but not least, our proposed algorithm is available for the community in the open-source autopilot Paparazzi. |
Databáze: | OpenAIRE |
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