摘要
在飞行中如何获得较精确的风场信息,对于飞行导航、控制和管理系统的研究都是一个重要的、急需解决的问题。目前飞机上无高精度的风测量手段.为此,本文将卡尔曼滤波技术应用到风场估计中去,并提出了一个简单实用的风模型。仿真结果表明该方案是成功的。本文属某无人机航迹控制研究计划的一部分.从这一工程实例出发,详细说明了利用卡尔曼滤波技术进行风场估计的全过程,其中包括飞机地速的估计,风测量精度分析等内容。
Wind-field, as a flight euvironment, has a great effect on vehicle flight. How to obtain high precision wind values is very important for Flight Navigation System, Flight Control System, and Flight Management System. But now aircrafts have not high precision wind measuring method. For solving this problem, this paper introduces Karlman filter into wind estimation, and develops a simple and practical wind model. The simulation results show this algorithm is successful. This work is a part of a research project of developing a Remotely Piloted Vehicle (RPV)navigation and control system. The detailed description of the whole process of wind estimation by using Karlman filter, incuding groundspeed estimation and error analysis of wind calculation have been presented in this paper.
出处
《飞行力学》
CSCD
北大核心
1992年第3期41-48,55,共9页
Flight Dynamics
关键词
风场
风建模
卡尔
无人驶飞机
导航
Wind-field
Wind modeling
Karlman filter
RPY Navigation and control
