摘要
船舶航向控制是航行控制系统中非常重要的一个环节,在航线自动跟随系统中,航向控制系统的自学习能力会直接决定船舶的航行效果。本文重点对船舶航向在线学习系统进行升级,能够自我学习、自我判断航线的跟随准确度,通过采用先进的模糊神经网络算法,有效改善控制系统的参数,通过不断的自我学习、自我修正,能够使船舶的航行线路始终保持在一定的范围内。本文提出的智能化控制方法能够有效提升航行的稳定性,一定程度上降低事故的发生率。
Ship navigation control is a very important part of navigation control system. In the route follower system,the self-learning ability of navigation control system will directly determine the navigation effect of the ship. This paper focuses on the upgrade of the ship course online learning system, which can self-study and follow the accuracy of self-judgment route. The fuzzy self-adaptive neural network algorithm is used to improve the accuracy of each parameter in the heading control system. Learning, self-correction, to make the ship's navigation routes always remain within a certain range.Therefore, the intelligent control method proposed in this paper can effectively improve the stability of navigation, to a certain extent reduce the incidence of accidents.
出处
《舰船科学技术》
北大核心
2017年第6X期58-60,共3页
Ship Science and Technology
关键词
航行控制
模糊神经
控制
navigation control
fuzzy neural
control
