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Aerial Slung-Load Position Tracking Under Unknown Wind Forces
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0001-5840-3767
Univ Calif San Diego, Dept Mech & Aerosp Engn, San Diego, CA 92093 USA..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). KTH, School of Electrical Engineering and Computer Science (EECS), Centres, Centre for Autonomous Systems, CAS. KTH, School of Electrical Engineering and Computer Science (EECS), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-7309-8086
2021 (English)In: IEEE Transactions on Automatic Control, ISSN 0018-9286, E-ISSN 1558-2523, Vol. 66, no 9, p. 3952-3968Article in journal (Refereed) Published
Abstract [en]

We propose a dynamic controller for position tracking of a point-mass load attached to an omnidirectional aerial vehicle by means of a cable. Both the load and the aerial vehicle are subject to unknown wind forces. We model the dynamics of the slung-load system and put it into canonical form, i.e., a form which is independent of the system's physical parameters. Following a backstepping strategy, we design a dynamic control law for the canonical system that contains four estimators, since each of the two wind disturbances has two separate effects: an effect on the linear acceleration and another on the angular acceleration. Loosely speaking, the difference between the wind forces is an input-additive disturbance, while the wind force on the load is not, which makes removing the wind force on the load nontrivial. We identify conditions on the desired position trajectory and on the wind on the load, which guarantee that a well-defined equilibrium trajectory exists. The designed controller guarantees simultaneously that the latter trajectory is asymptotically tracked and the cable remains taut, provided that the system is initialized in a suitable set. Simulations illustrate our results.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2021. Vol. 66, no 9, p. 3952-3968
Keywords [en]
Trajectory, Power cables, Load modeling, Force, Acceleration, Transportation, Dynamics, Control of aerial vehicles, disturbance removal, nonlinear position control
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-301820DOI: 10.1109/TAC.2020.3027641ISI: 000690441100008OAI: oai:DiVA.org:kth-301820DiVA, id: diva2:1594509
Note

QC 20210915

Available from: 2021-09-15 Created: 2021-09-15 Last updated: 2022-06-25Bibliographically approved

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Ótão Pereira, Pedro MiguelDimarogonas, Dimos V.

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Decision and Control Systems (Automatic Control)Centre for Autonomous Systems, CASACCESS Linnaeus Centre
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IEEE Transactions on Automatic Control
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