Experimental test of a robust formation controller for marine unmanned surface vessels |
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Authors: | Daniel Schoerling Chris Van Kleeck Farbod Fahimi Charles Robert Koch Alfons Ams Peter Löber |
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Affiliation: | 1.University of Alberta,Edmonton,Canada;2.Technische Universit?t Bergakademie Freiberg,Freiberg,Germany |
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Abstract: | Experiments with two formation controllers for marine unmanned surface vessels are reported. The formation controllers are
designed using the nonlinear robust model-based sliding mode approach. The marine vehicles can operate in arbitrary formation
configurations by using two leader-follower control schemes. For the design of these controller schemes 3 degrees of freedom
(DOFs) of surge, sway, and yaw are assumed in the planar motion of the marine surface vessels. Each vessel only has two actuators;
therefore, the vessels are underactuated and the lack of a kinematic constraint puts them into the holonomic system category.
In this work, the position of a control point on the vessel is controlled, and the orientation dynamics is not directly controlled.
Therefore, there is a potential for an oscillatory yaw motion to occur. It is shown that the orientation dynamics, as the
internal dynamics of this underactuated system, is stable, i.e., the follower vehicle does not oscillate about its control
point during the formation maneuvers. The proposed formation controller relies only on the state information obtained from
the immediate neighbors of the vessel and the vessel itself. The effectiveness and robustness of formation control laws in
the presence of parameter uncertainty and environmental disturbances are demonstrated by using both simulations and field
experiments. The experiments were performed in a natural environment on a lake using a small test boat, and show robust performance
to parameter uncertainty and disturbance. This paper reports the first experimental verification of the above mentioned approach,
whose unique features are the use of a control point, the zero-dynamic stability analysis, the use of leader-follower method
and a nonlinear robust control approach. |
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