摘要
随着计算机技术在各个领域的不断应用,传统的优化算法得到了极大的提高。目前,以神经网络算法、人工智能等为代表的计算机辅助优化已经成为了业内人士的研究重点。船舶的动力定位是指船舶不再依靠传统的锚泊式海上定位,而是利用自身的推动力使船舶抵消来自海浪、海风等的干扰作用力,使船舶在海面上保持相对的平衡。为了提高船舶动力定位的精度与稳定性,本文结合神经网络算法,在船舶动力定位函数模型的基础上开发了新型的动力定位控制系统,并详细介绍了该系统。
With the continuous application of computer technology in various fields, the traditional optimization algorithm has been greatly improved. At present, computer-aided optimization represented by neural network algorithm, artificial intelligence, etc. has become the research focus of the industry. Ship's dynamic positioning means that the ship no longer depends on the traditional anchorage positioning at sea, but uses its own driving force to make the ship offset the interference from the sea waves, wind and other forces, so that the ship maintains a relative balance on the sea surface. In order to improve the accuracy and stability of ship dynamic positioning, a new type of dynamic positioning control system is developed on the basis of ship dynamic positioning function model and neural network algorithm.
作者
刘翠梅
LIU Cui-mei(Changzhou Vocational Institute of Mechatronic Technology, School of Information Engineering, Changzhou 213164, China)
出处
《舰船科学技术》
北大核心
2019年第2期46-48,共3页
Ship Science and Technology
关键词
神经网络
动力定位
控制
函数模型
neural network
dynamic positioning
control
function model
