摘要
针对当前空中威胁目标拦截的实际需求,结合拦截器本身的机动能力,基于全覆盖协同策略,提出一种协同探测的现实真比例导引律(RTPN)制导拦截方法。所提方法解决了传统RTPN方法未考虑拦截器饱和过载限制及对任意机动目标捕获区域的确定问题。此外,针对拦截过程中对目标运动轨迹测量误差及协同探测数据丢包所引起的数据融合精度和鲁棒性问题,提出一种分布式协同滤波算法;针对数据传输和拦截器本身动力学响应延迟等问题,提出一种航迹预测算法。仿真结果验证所提方法能够有效解决饱和过载下的捕获区域确定及动力学延迟问题,及协同探测数据融合中数据丢包所引起的鲁棒性和精度问题。
According to the actual requirements of the current air threat target interception,combined with the interceptor’s own maneuverability and based on the full coverage cooperative strategy,a realistic true proportional navigation law(RTPN)guided interception method for collaborative detection is designed.It solves the problem that the traditional RTPN method does not consider the interceptor saturation overload limit and the determination of the acquisition area of any maneuvering target.A distributed cooperative filtering technique is suggested to address the accuracy and robustness of data fusion caused by measurement inaccuracy of target trajectory and packet loss of cooperative detection data during interception.Aiming at the problems of data transmission and the delay of interceptor dynamic response,a track prediction algorithm is proposed.The results of the simulations demonstrate that the suggested approach may successfully address issues with acquisition region identification,dynamic latency under saturation overload,and resilience and accuracy issues brought on by data packet loss in cooperative detection data fusion.
作者
李继广
陈欣
董彦非
屈高敏
赵成功
张阿龙
LI Jiguang;CHEN Xin;DONG Yanfei;QU Gaomin;ZHAO Chenggong;ZHANG Along(College of Aircraft,Xi’an Aeronautical University,Xi’an 710077,China;College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;Northwest Institute of Mechanical and Electrical Engineering,Xianyang 712000,China)
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2024年第1期86-96,共11页
Journal of Beijing University of Aeronautics and Astronautics
基金
陕西省自然科学青年基金项目(2021JQ-858)
陕西省自然科学基金重点项目(2022JZ-37)
陕西高等教育教学改革研究项目(21BY163)
青年科学基金(62103441)
校级科研项目(2021KY0210)。
关键词
协同拦截
机动目标
现实真比例导引律
过载限制
滤波算法
航迹预测
数据融合
collaborative interception
maneuvering target
realistic true proportional navigation law
overload limit
filtering algorithm
track prediction
data fusion
