| 引用本文: | 任家栋,曾庆双,朱虹.自适应TSKF的空间电推进机动目标跟踪[J].哈尔滨工业大学学报,2018,50(4):36.DOI:10.11918/j.issn.0367-6234.201702004 |
| REN Jiadong,ZENG Qingshuang,ZHU Hong.Tracking of space electric-propulsion maneuvering target based on adaptive two-stage Kalman filter[J].Journal of Harbin Institute of Technology,2018,50(4):36.DOI:10.11918/j.issn.0367-6234.201702004 |
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| 摘要: |
| 非合作机动目标跟踪是地球静止轨道卫星进行状态监测、维修维护等复杂航天任务的前提.出于推进效率考虑，下一代高轨卫星将优选全电推进配置，但电推进的连续小推力机动特性致使基于CW方程的经典非合作目标跟踪算法期望有偏，两段状态估计法在稳态估计性能与机动跟踪响应间存在矛盾.为了解决电推进下对机动目标的快速跟踪估计问题，采用滤波误差理论对经典算法性能衰减因素进行分析，得到机动加速度至滤波新息的转移矩阵演变特性，进而提出一种自适应变维两段状态估计法.改进方法基于目标机动检测信息修正偏差滤波器的观测阵以匹配上述演变特性，使其在目标非机动区间性能与经典相对导航跟踪算法等效，在机动区间性能与两段状态估计算法等效，同时具备更快的跟踪响应特性.仿真结果表明，本算法对非合作目标的稳态跟踪性能与传统经典算法一致，跟踪响应速度提升4~5倍，是对空间非合作机动目标连续小推力机动下跟踪问题的有益探索.
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| 关键词: 地球静止轨道 电推进 两段状态估计 自适应 机动目标 |
| DOI：10.11918/j.issn.0367-6234.201702004 |
| 分类号:V448.21 |
| 文献标识码:A |
| 基金项目:国家高技术研究发展计划(2015AA8091073) |
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| Tracking of space electric-propulsion maneuvering target based on adaptive two-stage Kalman filter |
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REN Jiadong1,2,ZENG Qingshuang1,ZHU Hong2
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(1.School of Astronautics, Harbin Institute of Technology, Harbin 150001, China; 2.Key Laboratory of Space Intelligent Control Technology (Shanghai Aerospace Control Engineering Institute), Shanghai 201109, China)
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| Abstract: |
| Tracking of non-cooperative maneuver target is the premise of fulfilling complex space task for geostationary-earth-orbit satellite, such as state supervising and maintenance etc. Considering propulsion efficiency, next-generation high-earth-orbit satellites prefer to adopt electric propulsion system. However, the continuous low-thrust characteristics of electric propulsion causes that the classical relative navigation tracking algorithm expectation has some bias, and there is some contradiction between the steady-state performance and the maneuvertracking response for two-stage state estimation method. To solve the rapid-tracking estimation problem of electric-propulsion maneuver target, filtering error theory is adopted to analyze the attenuation factor of the classical algorithm performance, and we obtain the evolvement characteristic of transfer matrix from maneuver acceleration to filtering information. The above evolvement characteristic can be matched by the observation matrix on the basis that detection information of target maneuver can amend the error filter. Then a kind of adaptive variable-dimension two-stage state estimation method is presented, which makes that its performance is equivalent to the classical relative-navigation tracking algorithm in the non-maneuvering interval of target and equivalent to the two-stage state estimation algorithm in the maneuver interval. Meanwhile, it has a faster tracking response. Finally, the simulation results show that for non-cooperative target the steady-state estimation performance of the proposed algorithm is consistent with that of the classical algorithm, i.e. the tracking response is four to five times faster than that of using the traditional method. For tracking of space non-cooperative maneuver target with continuous low-thrust maneuver, the new algorithm is a good exploration.
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| Key words: geostationary orbit electric propulsion two-stage Kalman filter adaptive maneuvering target |
