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Disturbance rejection of offshore drilling platforms: An equivalent-input-disturbance-based dynamic positioning
Zhejiaqi Ma1, Yibing Wang1, Shengnan Tian1
1School of Automation, China University of Geosciences, Wuhan 430074, China; Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China; Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan 430074, China.
This study introduces an improved equivalent-input-disturbance (EID) method to enhance dynamic positioning for offshore drilling platforms. The novel approach effectively estimates and suppresses environmental disturbances, ensuring reliable station-keeping and system stability.
Area of Science:
- Ocean Engineering
- Control Systems
- Robotics
Background:
- Offshore drilling platforms face significant operational challenges due to environmental disturbances like wind, waves, and currents.
- Reliable station-keeping is crucial for the safety and efficiency of these platforms.
- Existing dynamic positioning systems require enhanced disturbance rejection capabilities.
Purpose of the Study:
- To propose a novel dynamic positioning method for offshore drilling platforms.
- To improve the estimation and suppression of unknown environmental disturbances.
- To enhance the overall performance and stability of the station-keeping system.
Main Methods:
- Implementation of an improved equivalent-input-disturbance (EID) estimator.
- Decoupling of input channels using linear transformation.
- Optimization of observer and controller parameter tuning.
Main Results:
- Significantly enhanced disturbance-rejection performance in the dynamic positioning system.
- Improved system performance through optimized parameter tuning and input channel decoupling.
- Mathematical proof of bounded-input bounded-output stability for the closed-loop system.
Conclusions:
- The improved EID approach offers a robust solution for dynamic positioning of offshore drilling platforms.
- The method effectively addresses unknown disturbances, leading to more reliable station-keeping.
- This research provides valuable insights for the design of advanced dynamic positioning systems.
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