基于自适应模糊控制的船舶航向控制研究

Research of the ship course control system based on adaptive neural fuzzy algorithm

为了提高船舶在复杂海域和密集线路航行的经济性、安全性和稳定性,性能优异的航向自动化控制系统引起了研究人员的普遍关注。传统的船舶航向自动控制系统(自动舵)在灵活性和可操作性上无法满足现代大型船舶和密集航线的需求。本文利用自适应神经模糊控制算法,对传统的船舶航向控制系统进行优化,并设计基于模糊控制算法的船舶自适应航向控制系统。

In order to improve the economy, safety and stability of the ship in the complex sea area and intensive route,the ship course automatic control system with excellent performance has attracted the attention of researchers. The automatic control system of ship course traditional(autopilot) in flexibility and operability cannot meet the demand of large ships and intensive route, using adaptive neural fuzzy control algorithm for ship course control system to optimize the traditional adaptive ship course control system, is designed based on fuzzy control algorithm.