弹间协同饱和攻击误差源灵敏度分析
Error sources sensitivity analysis on missile cooperation-based salvo attack
武建 1赵斌 2韩拓3
作者信息
- 1. 中国电子科技集团公司第二十研究所,西安 710068
- 2. 西北工业大学精确制导与控制研究所,西安 710072
- 3. 北京航空航天大学航空科学与工程学院,北京 100191
- 折叠
摘要
针对外界扰动、初始偏差、测量偏差等多源误差作用下的弹间协同饱和攻击任务,开展多弹协同饱和攻击过程对目标察打的实施方法及多源误差灵敏度影响分析研究.借助时间可调视线参考剖面重塑法的饱和攻击策略,给出弹间数据链协同方位共享机制下保障弹目距离信息协同估计特性的参数调节范围.开展初始位置偏差、风干扰、测量偏差等复杂工况下机动目标饱和攻击蒙特卡洛打靶仿真验证,提供了多类型误差源对饱和攻击指标的灵敏度影响因子求解方法,基于误差范围量化分析,给出了设定场景下影响饱和攻击指标的误差源灵敏度变化及主要影响因素.结果表明,初始偏差灵敏度影响因子较高,弹道倾角、风干扰、视线偏差等正向误差交耦作用下,会导致较大系统偏差.
Abstract
Aiming at the task of missile cooperation-based salvo attack under the multi-source errors such as external disturbance,initial deviation,measurement deviation,etc.,the implementation of cooperative salvo attack process on target detection and interception as well as the influence analysis of multi-source error sensitivity are investigated.With the help of the salvo attack strategy using the time-adjustable line-of-sight(LOS)reference profile reshaping method,the parameter adjustment range to ensure the cooperative estimation characteristics of missile-target relative distance under the cooperative azimuth sharing mechanism of the missile data link is provided.The Monte Carlo test of maneuvering target salvo attack is carried out,under complex conditions such as initial position deviation,wind interference,measurement deviation,etc.,and the computation of multi-type error source sensitivity index on the salvo attack is provided.Based on the quantitative analysis of the error range,the error source sensitivity variation and main influencing factors that affect the salvo attack performance in the set scenario are presented.The results show that the initial deviation sensitivity has a relatively high influence index,and the interaction of positive errors such as flight path angle,wind interference,and line of sight deviation would lead to large system deviations.
关键词
弹间协同/目标察打/饱和攻击/时间约束/蒙特卡洛仿真/误差源/灵敏度分析Key words
missile cooperation/target detection and interception/salvo attack/time constraint/Monte Carlo simulation/error sources/sensitivity analysis引用本文复制引用
基金项目
国家自然科学基金(62203031)
博士后创新人才支持计划(BX20220370)
中国博士后科学基金(2022M710312)
出版年
2024