Design of Neural Network Observer for Ship Dynamic Positioning System

摘要：

　　A neural network observer is developed for ship dynamic positioning system with uncertain dynamics and disturbances in this paper.For ship dynamic positioning system,in most cases the position measurements are available but the velocity measurements are not.In addition,the measured position and heading signals are often corrupted by noises,which may reduce the performance of the dynamic positioning system.The designed observer is presented to estimate all the state of the dynamic positioning system,including position and velocity signals from the corrupted position signals.Based on Lyapunov theory,it is proved that the observer estimation errors are uniformly ultimately bounded.It is also shown that the designed neural network observer is capable of producing noise-free estimates of velocity and position from corrupted position measurement.An example is given to show the performance and effectiveness of the proposed neural network observer.

关键词： dynamic positioning system observer neural network uniformly ultimately bounded

作者: Yongyi Lin Jialu Du Xin Hu Haiquan Chen

作者单位: School of Information Science and Technology,Dalian Maritime University,Dalian 116026,Liaoning,China School of Information Science and Technology,Dalian Maritime University,Dalian 116026,Liaoning,China School of Marine Engineering,Dalian Maritime University,Dalian 116026,Liaoning,China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 2518-2523

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）