光测设备空间目标自动化测量方法

Space Target Automated Measurement Method for Optical Measurement Equipment

为提高光测设备在空间目标测量过程的自动化程度,提出了一种自动化测量方法。介绍了系统组成及其自动化运行流程。以观测目标数最大化及观测时长可用于编目为准则,设计待优化函数,采用粒子群优化算法对观测计划进行编排。针对轨道预报数据误差较大时目标在视场外无法识别的问题,给出两种主动搜索策略。仿真计算表明,经过优化后的观测计划,解决了弧段重叠导致个别目标无法观测的问题,同时自动完成了对各目标观测时长的合理控制。对某型号光测设备在螺旋式扫描搜索模式下进行试验,偏移量速度最大值为0.126(°)/s,加速度最大值为-0.053(°)/s^(2)且连续稳定。采用扩张搜索与收缩搜索相结合的方式,不仅提高了目标的捕获概率,而且在结束搜索时可平稳切换到原始引导模式。实测试验表明,该方法可有效提高设备的自动化运行水平及设备的使用效能。

To improve the automation of optical measurement equipment in space target measurement processes,an automated measurement method is proposed in this study.First,the composition and automatic operation process of the system are introduced.Second,the function to be optimized is designed by maximizing the number of observation targets.The observation time can be used for cataloging,and the particle swarm optimization algorithm is used to propose an observation plan.Finally,to address the problem that the target cannot be detected outside the field of view when the guidance data error is large,two active search strategies are proposed.Simulation calculation results show that the optimized observation plan enables the detection of individual targets with overlapping arc segments and automatically and reasonably controls the observation time of each target.The helical scanning search is simulated for a certain type of optical measurement equipment,achieving a maximum offset velocity of 0.126(°)/s and a maximum acceleration of-0.053(°)/s^(2),and it is continuous and stable.The combination of expansion and contraction search strategies can improve the capture probability of the target and enable the switch to the original guidance mode smooth at the end of the search.Test results show that the proposed method can effectively improve the automatic operation level of equipment and enhance the equipment efficiency.