Nonlinear Control Allocation for Drilling Rigs with an Online Actuator Selection Method

Mohammad Faghiri , Mehdi Naderi , Amirhossein Nikoofard , Ali Khaki Sedigh

Journal of Marine Science and Application ›› 2025, Vol. 24 ›› Issue (6) : 1218 -1229.

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Journal of Marine Science and Application ›› 2025, Vol. 24 ›› Issue (6) :1218 -1229. DOI: 10.1007/s11804-025-00611-w
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Nonlinear Control Allocation for Drilling Rigs with an Online Actuator Selection Method

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Abstract

Dynamic positioning systems (DPS) on marine vessels exhibit actuator redundancy, with more actuators than degrees of freedom. A control allocation unit is employed to address this redundancy. Practical systems often feature time-varying elements in the effectiveness matrix due to factors such as changing operating conditions, nonlinearity, and disturbances. Additionally, not all thrusters require engagement at each step to counteract disturbances and maintain position. Control efforts can be generated by selecting some thrusters based on their instant effectiveness, while others can remain on standby. Therefore, introducing a control allocation method that calculates the effectiveness matrix online and selects the most efficient thrusters could be effective. This paper introduces a fault-tolerant control allocation strategy for DPS with a varying effectiveness matrix. Specifically, the investigation focuses on a case study featuring eight azimuth thrusters used on a drilling rig. At each time step, the effective matrix is calculated online, followed by the selection of the four most effective thrusters based on the actuator effectiveness index, with the four serving as backups in case of a fault. The proposed strategy has been validated through simulation results, demonstrating advantages such as robustness against changes in the effectiveness matrix and reduced energy usage by the thrusters.

Keywords

Marine vessels / Drilling rigs / Dynamic position systems / Control allocation / Actuator selection / Fault-tolerant systems

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Mohammad Faghiri, Mehdi Naderi, Amirhossein Nikoofard, Ali Khaki Sedigh. Nonlinear Control Allocation for Drilling Rigs with an Online Actuator Selection Method. Journal of Marine Science and Application, 2025, 24(6): 1218-1229 DOI:10.1007/s11804-025-00611-w

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Harbin Engineering University and Springer-Verlag GmbH Germany, part of Springer Nature

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