摘要
为解决单一观测器对临近空间飞行器长距离跟踪精度低的问题,采用了多观测器协同跟踪方法;为实现对临近空间高机动目标运动状态信息的准确拟合,提出交互多模型二次滤波方法;基于目标的跟踪信息,结合差分整合滑动平均自回归(Autoregressive Integrated Moving Average,ARIMA)模型实现对目标轨迹的预测。仿真结果表明二次滤波轨迹跟踪及预测方法与传统跟踪预测方法相比,有效提升了对目标运动信息等跟踪预测精度,角速度跟踪误差从30%降低到5%以内,速度跟踪误差从20%降低到2%以内,并在无需大量先验信息的前提下实现对目标未来100s内的轨迹进行有效预测,误差不大于0.5km。
In order to solve the problem of low tracking precision of a single observer for a near space vehicle over long distance,a multi-observer cooperative tracking method is applied.In order to accurately fit the motion state information of high maneuvering target in near space,an interactive multi-model quadratic filtering method is proposed.Based on the target tracking information,a differential auto regressive integrated moving average(ARIMA)model is used to predict the target trajectory.The simulation results show that the tracking and prediction precision of the target motion information is effectively improved by using the quadratic filtering trajectory tracking and prediction method,compared with the traditional tracking and prediction methods.The angular velocity tracking error is reduced from 30%to less than 5%,and the velocity tracking error is reduced from 20%to less than 2%.Moreover,it can effectively predict the trajectory of the target in the future 100s without a lot of prior information,and the error is less than 0.5km.
作者
何君宇
宁国栋
王晓峰
张科南
王江华
He Junyu;Ning Guodong;Wang Xiaofeng;Zhang Kenan;Wang Jianghua(Beijing Institute of Mechanical and Electrical Engineering,Beijing 100074,Chi)
出处
《航天控制》
CSCD
北大核心
2023年第2期24-32,共9页
Aerospace Control
关键词
临近空间高机动飞行器
转弯模型
二次滤波
ARIMA模型
轨迹预测
High maneuvering near space vehicle
Coordinated turn model(CT)
The composite filter
ARIMA model
Track prediction
