基于模糊推理的船舶操纵系统运动时间序列的预报研究

Ship maneuvering system motion time series prediction based on fuzzy inference

造船工业和远洋航运飞速发展,船舶逐渐向着大型、智能和高速方向发展,货运量的增加和航运线路的复杂化给船舶的操纵系统带来了挑战。为了提高船舶的操纵性能,保证船舶航行的安全性,新的船舶操纵理论和操纵技术引起了研究人员的关注。本文基于模糊推理算法和遗传算法等理论,对船舶操纵系统的运动时间序列预报进行系统研究。

With the development of shipbuilding industry and ocean shipping, the ship is developing towards the direction of large scale, intelligence and high speed. The increase of freight volume and the complexity of shipping line have brought challenges to the ship's control system. In order to improve the maneuverability of ship and ensure the safety of ship navigation, the new ship maneuvering theory and control technology have attracted the attention of researchers. Based on the theory of fuzzy inference and genetic algorithm, this paper makes a systematic study on the prediction of ship motion time series.