航空学报 > 2024, Vol. 45 Issue (10): 329412-329412   doi: 10.7527/S1000-6893.2023.29412

基于事件驱动的航天器星下点轨迹维持控制

宁铠, 吴宝林()   

  1. 哈尔滨工业大学 航天学院,哈尔滨 150000
  • 收稿日期:2023-08-05 修回日期:2023-08-29 接受日期:2023-10-31 出版日期:2024-05-25 发布日期:2023-11-01
  • 通讯作者: 吴宝林 E-mail:wubaolin@hit.edu.cn
  • 基金资助:
    国家自然科学基金(62188101)

Event-triggered-based orbit maintenance control for spacecraft subsatellite point control

Kai NING, Baolin WU()   

  1. School of Astronautics,Harbin Institute of Technology,Harbin 150000,China
  • Received:2023-08-05 Revised:2023-08-29 Accepted:2023-10-31 Online:2024-05-25 Published:2023-11-01
  • Contact: Baolin WU E-mail:wubaolin@hit.edu.cn
  • Supported by:
    National Natural Science Foundation of China(62188101)

摘要:

针对超低轨航天器高精度自主轨道维持问题,考虑通信受限和大气阻力摄动的影响,提出基于事件驱动机制的模糊自适应控制方法。首先,建立基于相对平均轨道根数的航天器轨道动力学模型,采用模糊自适应控制方法估计大气阻力带来的扰动项。然后,在控制器细胞卫星一侧采用事件驱动机制,减少控制器细胞卫星和电推力器细胞卫星之间的通信负担和计算量,并且保证在一定时间内控制推力保持不变,以延长电推力器细胞卫星寿命。随后,提出基于事件驱动的模糊自适应轨道控制算法来维持星下点轨迹。最后,通过仿真验证了所提出算法的有效性。

关键词: 超低轨航天器, 大气阻力, 自主轨道维持, 事件驱动机制, 模糊自适应控制

Abstract:

A fuzzy adaptive control method based on event-triggered mechanism is proposed for high precision autonomous orbit maintenance of ultra-low orbit spacecraft with limited communication and atmosphere drag perturbation. Firstly, a spacecraft orbit dynamics model is established based on the relative average orbital elements. The fuzzy adaptive control method is used to estimate the nonlinear function caused by atmosphere drag. Then, an event-triggered mechanism placed on the controller cellular satellite is proposed to reduce the communication burden and computation. Meanwhile, constant control thrust over a certain period of time can be ensured which can extend the lifetime of electric thrust cellular satellite. An event-triggered-based fuzzy adaptive autonomous orbit maintenance controller is designed for maintaining subsatellite point trajectory. Finally, the effectiveness of the proposed control algorithm is verified through simulation results.

Key words: ultra-low orbit spacecraft, atmosphere drag, autonomous orbit maintenance, event-triggered mechanism, fuzzy adaptive control

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