Research on nonlinear model predictive control technology for ship dynamic positioning system

Author(s):  
Yuanhui Wang ◽  
Yufeng Sui ◽  
Jing Wu ◽  
Jianfang Jiao
2015 ◽  
Author(s):  
Shi Lei ◽  
Han Bing ◽  
Cao Jianming

In this paper, an expert experience model predictive control strategy is suggested based on the feed forward control of wind and current, and the Kalman filter for the low frequency motion estimation. For the examination of control accuracy and control stability, a pool test of the dynamic positioning system is designed and completed based on the actual situation of the target ship in this paper. The test results with different simulated environments show that the control strategy of dynamic positioning system meets the technical requirements of the target ship with good control accuracy and stability.


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