摘要
动力定位系统是大型船舶辅助推力系统,其利用各类传感器、GPS及水声处理器计算海洋中变幻莫测的风、浪、水流作用力,提供对应的推力进行抵消,从而保障船舶按照预定的航速、航向运行。本文研究了船舶动力定位模拟器结构,利用遗传算法对各类传感器采集数据进行融合,对模拟器数据故障进行分析,最后验证了算法有效性。
Dynamic positioning system is a large-scale ship auxiliary thrust system. It uses various sensors, GPS and underwater acoustic noise processors to calculate the unpredictable forces of wind, wave and current in the ocean, and provides corresponding thrust to offset them, so as to ensure that the ship runs at a predetermined speed and course. In this paper, the structure of ship dynamic positioning simulator is studied. The data collected by various sensors are fused by genetic algorithm, and the data faults of the simulator are analyzed. Finally, the validity of the algorithm is verified.
引文
[1]甘兴利,袁赣南. GPS/SPL组合伪距测量的精度因子仿真研宄[J].系统仿真学报, 2008(18):1789–1796.
[2]孙微,王方勇,乔钢,等.基于长基线水声定位系统误差分析以及定位精度研宄[J].声学与电子工程, 2016(2):17–22.
[3]NABAA N, BISHOP R H. Solution to a multisensor tracking problem with sensor registration errors[J]. IEEE Transactions on Aerospace&Electronic Systems, 2009, 35(1):354–363.
[4]SWAROOP D, HEDRICK J K, YIP P P, et al. Dynamic surface control for a class of nonlinear systems[J]. IEEE Transactions on Automatic Control, 2010, 45(10):1893–1899.
[5]SINGH R N P, BAILEY W H. Fuzzy logic applications to multisensor-multitarget correlation[J]. Aerospace&Electronic Systems, 2007, 33(3):752–760.