A control strategy for shipboard stabilization platforms based on a fuzzy adaptive proportional–integral–derivative (PID) control architecture
<p>To address the precision degradation of marine equipment under coupled hydrodynamic disturbances, this study develops a 6-degree-of-freedom (6-DOF) stabilization platform with a fuzzy adaptive proportional–integral–derivative (PID) control architecture. The kinematic model is established vi...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2025-07-01
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| Series: | Mechanical Sciences |
| Online Access: | https://ms.copernicus.org/articles/16/325/2025/ms-16-325-2025.pdf |
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| author | H. Liu Z. Zeng X. Yang Y. Zou X. Liu |
| author_facet | H. Liu Z. Zeng X. Yang Y. Zou X. Liu |
| author_sort | H. Liu |
| collection | DOAJ |
| description | <p>To address the precision degradation of marine equipment under coupled hydrodynamic disturbances, this study develops a 6-degree-of-freedom (6-DOF) stabilization platform with a fuzzy adaptive proportional–integral–derivative (PID) control architecture. The kinematic model is established via analysis based on the virtual-work principle, complemented by Monte Carlo simulations for workspace characterization. A fuzzy inference engine dynamically adjusts PID parameters through rule-based adaptation, demonstrating superior disturbance rejection. Comparative simulations indicate a 50 % reduction in settling time (7.0 <span class="inline-formula">s</span> to 3.5 <span class="inline-formula">s</span>), zero overshoot, and <span class="inline-formula"><</span> 0.03° steady-state tracking error under 2 <span class="inline-formula">Hz</span> sinusoidal excitation. A human–machine interface (HMI) for the shipboard stabilization platform is developed using the Qt Creator framework, integrating real-time trajectory tracking and parameter tuning. The research advances marine stabilization technology through mechanical optimization via virtual-work modeling and control enhancement via fuzzy–PID synthesis. Experimental validation confirms the framework's capability to maintain sub <span class="inline-formula">−</span>0.03° precision under dynamic maritime conditions.</p> |
| format | Article |
| id | doaj-art-faab27d2ecad436eb68cd4875ffdb7e2 |
| institution | Kabale University |
| issn | 2191-9151 2191-916X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Mechanical Sciences |
| spelling | doaj-art-faab27d2ecad436eb68cd4875ffdb7e22025-08-20T03:50:16ZengCopernicus PublicationsMechanical Sciences2191-91512191-916X2025-07-011632534210.5194/ms-16-325-2025A control strategy for shipboard stabilization platforms based on a fuzzy adaptive proportional–integral–derivative (PID) control architectureH. Liu0Z. Zeng1X. Yang2Y. Zou3X. Liu4School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, 150080, ChinaSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, 150080, ChinaSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, 150080, ChinaSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, 150080, ChinaSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, 150080, China<p>To address the precision degradation of marine equipment under coupled hydrodynamic disturbances, this study develops a 6-degree-of-freedom (6-DOF) stabilization platform with a fuzzy adaptive proportional–integral–derivative (PID) control architecture. The kinematic model is established via analysis based on the virtual-work principle, complemented by Monte Carlo simulations for workspace characterization. A fuzzy inference engine dynamically adjusts PID parameters through rule-based adaptation, demonstrating superior disturbance rejection. Comparative simulations indicate a 50 % reduction in settling time (7.0 <span class="inline-formula">s</span> to 3.5 <span class="inline-formula">s</span>), zero overshoot, and <span class="inline-formula"><</span> 0.03° steady-state tracking error under 2 <span class="inline-formula">Hz</span> sinusoidal excitation. A human–machine interface (HMI) for the shipboard stabilization platform is developed using the Qt Creator framework, integrating real-time trajectory tracking and parameter tuning. The research advances marine stabilization technology through mechanical optimization via virtual-work modeling and control enhancement via fuzzy–PID synthesis. Experimental validation confirms the framework's capability to maintain sub <span class="inline-formula">−</span>0.03° precision under dynamic maritime conditions.</p>https://ms.copernicus.org/articles/16/325/2025/ms-16-325-2025.pdf |
| spellingShingle | H. Liu Z. Zeng X. Yang Y. Zou X. Liu A control strategy for shipboard stabilization platforms based on a fuzzy adaptive proportional–integral–derivative (PID) control architecture Mechanical Sciences |
| title | A control strategy for shipboard stabilization platforms based on a fuzzy adaptive proportional–integral–derivative (PID) control architecture |
| title_full | A control strategy for shipboard stabilization platforms based on a fuzzy adaptive proportional–integral–derivative (PID) control architecture |
| title_fullStr | A control strategy for shipboard stabilization platforms based on a fuzzy adaptive proportional–integral–derivative (PID) control architecture |
| title_full_unstemmed | A control strategy for shipboard stabilization platforms based on a fuzzy adaptive proportional–integral–derivative (PID) control architecture |
| title_short | A control strategy for shipboard stabilization platforms based on a fuzzy adaptive proportional–integral–derivative (PID) control architecture |
| title_sort | control strategy for shipboard stabilization platforms based on a fuzzy adaptive proportional integral derivative pid control architecture |
| url | https://ms.copernicus.org/articles/16/325/2025/ms-16-325-2025.pdf |
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