摘要
舰船姿态运动预报系统是舰载机起降指导系统中的主要部分,它对提高舰载机安全起降起到重要作用。本文根据大型舰船在随机海浪作用下的运动特性,提出了基于自适应AR模型的预报方法,它通过RLS递推算法实现了在线实时预报。利用DSP设计的上述预报系统,本文进行了大量典型航行工况下的仿真。仿真结果表明,文中提出的舰船姿态运动预报方法可行,提前2秒的预报误差为2.7%,提前7秒的预报误差为8.3%。因此,该方法在工程中具有很大的实用价值。
The ship attitude motion prediction system is a main part of the guiding system for taking off or landing aircrafts. It plays a very important role in improving safety of aircrafts taking off and landing. Based on the motion characteristics of large naval ships under random waves, this paper presents a selfadaptive AR model-based prediction method that realizes online real-time prediction through RLS algorithm. With the above prediction system based on DSP design, this paper presents a lot of simulations under representative navigation＇ conditions. The simulation results show that the ship attitude motion prediction method is feasible. The prediction error is 2.7% for 2 seconds ahead, and 8.3% for 7 seconds ahead. Those indicate that the prediction method is valuable for engineering practice.
出处
《船电技术》
2005年第4期40-42,共3页
Marine Electric & Electronic Engineering
