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AuthorJayasiri, Awantha
AuthorNandan, Anirudh
AuthorImtiaz, Syed
AuthorSpencer, Don
AuthorIslam, Shameem
AuthorAhmed, Salim
Available date2021-03-25T11:33:35Z
Publication Date2016
Publication Name2016 IEEE 55th Conference on Decision and Control, CDC 2016
ResourceScopus
URIhttp://dx.doi.org/10.1109/CDC.2016.7798685
URIhttp://hdl.handle.net/10576/17997
AbstractThis paper presents a solution to the problem of Dynamic Positioning of vessels in Arctic environments, using a finite-horizon optimal control based approach. As the first step, an Unscented Kalman Filter (UKF) based non-linear observer is developed for estimating both the vessel states and unknown inputs such as ice load. To perform better set point control and disturbance rejection, a Non-linear Model Predictive Controller (NMPC) is employed for dynamic positioning. Using the developed estimation and control strategies, successful simulation results are obtained. � 2016 IEEE.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectDisturbance rejection
Arctic environments
Control strategies
Finite horizon optimal control
Non-linear model
Non-linear observer
Optimum control
Set-point control
Unscented Kalman Filter
Dynamic positioning
TitleAn optimum control-based approach for Dynamic Positioning of vessels
TypeConference Paper
Pagination2796-2801


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