Abstract
Roll motion reduction is a critical operational challenge for ships operating in a seaway. This paper presents a nonlinear roll dynamics model for a gulet model ship equipped with active fins. We employ an Extended Kalman Filter (EKF) to accurately estimate model parameters from experimental roll test conducted in Hydrodynamic Research Laboratory at Yildiz Technical University. Subsequently, a disturbance rejection based velocity from Model Predictive Controller (MPC) actively drives the fins to minimize roll motion, explicitly incorporating real-world amplitude and rate saturations. Simulation results demonstrate the success of our parameter estimation approach and the promising potential of the MPC strategy for roll reduction.
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE Conference on Control Technology and Applications (CCTA) |
| Publisher | IEEE |
| Pages | 477-482 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350370942 |
| ISBN (Print) | 9798350370959 |
| DOIs | |
| Publication status | Published - 11 Sept 2024 |
| Event | IEEE Conference on Control Technology and Applications 2024 - Northumbria University, Newcastle upon Tyne, United Kingdom Duration: 21 Aug 2024 → 23 Aug 2024 Conference number: 8 https://ccta2024.ieeecss.org (Link to conference website) |
Publication series
| Name | |
|---|---|
| ISSN (Print) | 2768-0762 |
| ISSN (Electronic) | 2768-0770 |
Conference
| Conference | IEEE Conference on Control Technology and Applications 2024 |
|---|---|
| Abbreviated title | CCTA 2024 |
| Country/Territory | United Kingdom |
| City | Newcastle upon Tyne |
| Period | 21/08/24 → 23/08/24 |
| Internet address |
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ASJC Scopus subject areas
- Control and Optimization
- Control and Systems Engineering
Documents and Links
- Author accepted manuscript
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