State Estimation and Control for a Model Scale Passenger Ship using an LQG Approach
Reducing the roll response of ships between irregular waves is an important issue for the operational requirement. This study presents a roll dynamics model for a passenger ship equipped with active fins. In this study, a Kalman Filter was applied to accurately estimate all states from the measureme...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Galenos Publishing House
2024-12-01
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| Series: | Journal of Eta Maritime Science |
| Subjects: | |
| Online Access: | https://jag.journalagent.com/z4/download_fulltext.asp?pdir=jems&un=JEMS-00236 |
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| _version_ | 1841556509521084416 |
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| author | Ferdi Çakıcı Ahmad Irham Jambak Emre Kahramanoğlu Ahmet Kaan Karabüber Bünyamin Ustalı Mehmet Utku Öğür Fuat Peri Ömer Sinan Şahin Mehmet Akif Uğur Afşin Baran Bayazit |
| author_facet | Ferdi Çakıcı Ahmad Irham Jambak Emre Kahramanoğlu Ahmet Kaan Karabüber Bünyamin Ustalı Mehmet Utku Öğür Fuat Peri Ömer Sinan Şahin Mehmet Akif Uğur Afşin Baran Bayazit |
| author_sort | Ferdi Çakıcı |
| collection | DOAJ |
| description | Reducing the roll response of ships between irregular waves is an important issue for the operational requirement. This study presents a roll dynamics model for a passenger ship equipped with active fins. In this study, a Kalman Filter was applied to accurately estimate all states from the measurement of total roll motion and roll velocity (based on fins and waves), even in the presence of measurement noise. Synchronously, a linear quadratic gaussian (LQG) controller actively drives the fins to minimize roll motion and velocity by taking the fin amplitude and rate saturations together. Two different sea states were modeled for the simulation purpose. Results demonstrate the success of the state estimation approach and the remarkable potential of the LQG strategy in roll reduction. |
| format | Article |
| id | doaj-art-875454762bca43ceab6ae470d64d4be5 |
| institution | Kabale University |
| issn | 2148-9386 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Galenos Publishing House |
| record_format | Article |
| series | Journal of Eta Maritime Science |
| spelling | doaj-art-875454762bca43ceab6ae470d64d4be52025-01-07T08:00:13ZengGalenos Publishing HouseJournal of Eta Maritime Science2148-93862024-12-0112436537610.4274/jems.2024.00236JEMS-00236State Estimation and Control for a Model Scale Passenger Ship using an LQG ApproachFerdi Çakıcı0Ahmad Irham Jambak1Emre Kahramanoğlu2Ahmet Kaan Karabüber3Bünyamin Ustalı4Mehmet Utku Öğür5Fuat Peri6Ömer Sinan Şahin7Mehmet Akif Uğur8Afşin Baran Bayazit9Yıldız Technical University, Department of Naval Architecture and Marine Engineering, İstanbul, Türkiyeİstanbul Technical University, Department of Mechatronics Engineering, İstanbul, Türkiyeİstanbul Technical University, Department of Marine Engineering, İstanbul, TürkiyeYıldız Technical University, Department of Control and Automation Engineering, İstanbul, TürkiyeYıldız Technical University, Department of Mechatronics Engineering, İstanbul, TürkiyeYıldız Technical University, Department of Civil Engineering, İstanbul, Türkiyeİstanbul Technical University, Department of Naval Architecture and Marine Engineering, İstanbul, TürkiyeRecep Tayyip Erdoğan University Faculty of Maritime, Department of Marine Engineering, Rize, TürkiyeYıldız Technical University, Department of Control and Automation Engineering, İstanbul, Türkiyeİstanbul Technical University, Department of Shipbuilding and Ocean Engineering, İstanbul, TürkiyeReducing the roll response of ships between irregular waves is an important issue for the operational requirement. This study presents a roll dynamics model for a passenger ship equipped with active fins. In this study, a Kalman Filter was applied to accurately estimate all states from the measurement of total roll motion and roll velocity (based on fins and waves), even in the presence of measurement noise. Synchronously, a linear quadratic gaussian (LQG) controller actively drives the fins to minimize roll motion and velocity by taking the fin amplitude and rate saturations together. Two different sea states were modeled for the simulation purpose. Results demonstrate the success of the state estimation approach and the remarkable potential of the LQG strategy in roll reduction.https://jag.journalagent.com/z4/download_fulltext.asp?pdir=jems&un=JEMS-00236roll stabilizationkalman filterlqg |
| spellingShingle | Ferdi Çakıcı Ahmad Irham Jambak Emre Kahramanoğlu Ahmet Kaan Karabüber Bünyamin Ustalı Mehmet Utku Öğür Fuat Peri Ömer Sinan Şahin Mehmet Akif Uğur Afşin Baran Bayazit State Estimation and Control for a Model Scale Passenger Ship using an LQG Approach Journal of Eta Maritime Science roll stabilization kalman filter lqg |
| title | State Estimation and Control for a Model Scale Passenger Ship using an LQG Approach |
| title_full | State Estimation and Control for a Model Scale Passenger Ship using an LQG Approach |
| title_fullStr | State Estimation and Control for a Model Scale Passenger Ship using an LQG Approach |
| title_full_unstemmed | State Estimation and Control for a Model Scale Passenger Ship using an LQG Approach |
| title_short | State Estimation and Control for a Model Scale Passenger Ship using an LQG Approach |
| title_sort | state estimation and control for a model scale passenger ship using an lqg approach |
| topic | roll stabilization kalman filter lqg |
| url | https://jag.journalagent.com/z4/download_fulltext.asp?pdir=jems&un=JEMS-00236 |
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