摘要
针对船舶避碰决策系统中的船舶运动趋势和避碰时机,应用遗传算法模型,实时预测各目标船相对于本船在下一时刻的运动参数,预估目标船相对于本船的最近会遇距离(DCPA)和最近会遇时间(TCPA)。同时,应用遗传算法模型预测避碰最优角度问题。仿真结果表明,该方法能有效提高船舶海上航行的灵活性和安全可靠性,达到提前预警和帮助驾驶员提前做好避碰准备等目的。
Countering the trend of ship movement and the opportunity of avoiding collision in the collision avoidance decision system of ship, this paper makes use of genetic algorithm model to forecast the movement parameter that each target ship relative to this ship at the next moment in real time,and forecast the distance to closest point of attroach（DCPA）and the time to closest point of attroach（TCPA）. In the same time,this paper adopts the genetic algorithm model to forecast the optimal angle of avoiding collision. The simulation result indicates that the method can improve effectively the flexibility and the reliability of ship when it sails over the sea, and achieves the aim such as alarming ahead and helping the steersmen to prepare for avoiding collision in advance, etc.
出处
《舰船电子对抗》
2006年第3期66-69,共4页
Shipboard Electronic Countermeasure
关键词
避碰
遗传算法
幅度决策
collision avoidance
genetic algorithm
amplitude decision
