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Aggressive maneuvers for a quadrotor-slung-load system through fast trajectory generation and tracking
Yu, Gan1; Cabecinhas, David2; Cunha, Rita2; Silvestre, Carlos1
2022-04-01
Source PublicationAUTONOMOUS ROBOTS
ISSN0929-5593
Volume46Issue:4Pages:499-513
Abstract

The ability for a quadrotor with a slung load to perform agile and accurate maneuvers expands the variety of scenarios where load transportation can be applied and enhances its efficiency. Due to the complexity of the system dynamics, slung-load transportation remains a challenging problem, which also causes trajectory generation a time-consuming task. We propose a framework to efficiently generate aggressive load-swing trajectories. Trajectory generation for the load aims to minimize the fifth order time derivative of the load position which, indirectly, minimizes the quadrotor angular velocity actuation. Aggressive load-swing trajectories are obtained by having the constraints for load cable direction embedded into the trajectory generation via constraints on the load acceleration. The trajectory generation, together with an accurate trajectory tracking controller, allows the aggressive maneuvers to be easily performed on the quadrotor with a slung-load. Simulation and experimental results of three dimensional aggressive maneuvers are presented to validate the proposed trajectory generation methodology, including the quadrotor slung-load traversing a window by tilting the cable, and also going through an environment with obstacles that must avoided.

KeywordAerial Load Transportation Aggressive Maneuvers Trajectory Generation Unmanned Aerial Vehicles
DOI10.1007/s10514-022-10035-y
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Robotics
WOS SubjectComputer Science, Artificial Intelligence ; Robotics
WOS IDWOS:000765640100001
Scopus ID2-s2.0-85125766930
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Document TypeJournal article
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorSilvestre, Carlos
Affiliation1.Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macao
2.Department of Electrical and Computer Engineering, Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Yu, Gan,Cabecinhas, David,Cunha, Rita,et al. Aggressive maneuvers for a quadrotor-slung-load system through fast trajectory generation and tracking[J]. AUTONOMOUS ROBOTS, 2022, 46(4), 499-513.
APA Yu, Gan., Cabecinhas, David., Cunha, Rita., & Silvestre, Carlos (2022). Aggressive maneuvers for a quadrotor-slung-load system through fast trajectory generation and tracking. AUTONOMOUS ROBOTS, 46(4), 499-513.
MLA Yu, Gan,et al."Aggressive maneuvers for a quadrotor-slung-load system through fast trajectory generation and tracking".AUTONOMOUS ROBOTS 46.4(2022):499-513.
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