Model predictive trajectory tracking control and thrust allocation for autonomous vessels
Ali Haseltalab (TU Delft - Transport Engineering and Logistics, Amsterdam Institute for Advanced Metropolitan Solutions (AMS))
V. Garofano (TU Delft - Transport Engineering and Logistics)
Maurits Van Pampus (Student TU Delft, Amsterdam Institute for Advanced Metropolitan Solutions (AMS))
R. Negenborn (TU Delft - Transport Engineering and Logistics)
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Abstract
The maneuvering control of autonomous vessels has been under extensive investigations by academic and industrial communities since it is one of the primary steps towards enabling unmanned shipping. In this paper, a model predictive control (MPC) approach is presented for trajectory tracking control of vessels which takes into account the thrust allocation (TA) problem in the presence of rotatable thrusters. In this approach, the TA problem is formulated over a finite horizon and solved with regard to the power consumption, changes in the angle and speed of actuators, and the operating constraints. In the proposed control approach, several linearization techniques have been employed to enable the adoption of quadratic programming approaches for solving the MPC's and TA's optimization problems. The performance of the proposed approach is evaluated through several simulation experiments using a replica vessel model.
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