Abstract
Abstract One essential subtask in Dynamic Positioning is the optimal thrust distribution onto all available propulsors - the thrust allocation. Current thrust allocation algorithms support a variety of different propulsor types, but usually only under bollard pull conditions, hence ignoring water inflow. However, there are marine control tasks in which severe relative motion through water is present. In such conditions zero-inflow models may suggest wrong thrust vectors, which may lead to degraded positioning performance. In this paper an approach for dynamic thrust allocation is presented that utilizes available information on water inflow. The method is inspired by stochastic optimization and uses a set of achievable thrust points to construct convexified constraints for an underlying Quadratic Programming optimization algorithm. The workflow of the proposed method as well as simple simulations are shown on the example of thrust generation with cycloidal propellers.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
