摘要
针对航天器空间交会过程中存在不确定性因素影响交会精度的问题,研究了一种基于长短时记忆(Long-Short Term Memory,LSTM)与预设性能控制(Prescribed Performance Control,PPC)理论的交会任务智能规划方法。建立了航天器交会相对运动模型,通过LSTM对非合作目标交会任务中的相对运动模型不确定因素进行辨识;采用PPC理论进行航天器交会任务规划,提高不确定性因素条件下的交会精度,通过仿真验证了方法的有效性。
To solve the problem of uncertainties affecting the accuracy of spacecraft’s space rendezvous mission,a rendezvous mission intelligent planning method based on Long-Short Term Memory(LSTM)and Prescribed Performance Control(PPC)theory is studied.Firstly,the relative motion model of spacecraft rendezvous is established.Then,the uncertain factors in the relative motion model of uncooperative targets in rendezvous task are identified through LSTM.Furthermore,the mission planning of spacecraft rendezvous is carried out by using the PPC to realize high-precision rendezvous under the condition of uncertainties.Finally,the effectiveness of the method is verified by simulation.
作者
靳锴
何文志
宗茂
李思男
JIN Kai;HE Wenzhi;ZONG Mao;LI Sinan(The 54th Research Institute of CETC,Shijiazhuang 050081,China;Key Laboratory of Hebei Province on Unmanned System Intelligent Telemetry & Telecontrol Information Technology,Shijiazhuang 050081,China)
出处
《无线电工程》
北大核心
2022年第7期1166-1171,共6页
Radio Engineering
基金
国家自然科学基金(62103446)。
