摘要
针对超低轨道卫星在轨运行时存在强烈大气阻力力矩以及姿态控制执行机构故障的情况,基于并行学习策略理论,提出了一种估计与补偿干扰和故障的方法。首先,作为参数辨识的一种思路,并行学习自适应辨识策略被引入到干扰及故障估计问题中,相较传统的观测器,该策略可将干扰和故障同时分别估计,并放松了对实时姿态信息及指令力矩信息的需求。然后,利用上述估计值设计姿态控制器以保证干扰及故障情况下实现卫星的高精度姿态控制。最后,通过对具体的任务过程进行数值模拟,验证了所提方法的有效性。
Aiming at the strong atmospheric drag torque and attitude control actuator failure of ultra-low-orbit satellite,a method to estimate and compensate the disturbance and fault is proposed based on the theory of concurrent learning strategy.Firstly,as an idea for parameter identification,the concurrent learning adaptive identification strategy is introduced into the problem of disturbances and faults estimation.Compared with traditional observers,the proposed strategy can estimate the disturbances and faults simultaneously and separately,and the attitude information and command torque are not required at all time.Then,based on the estimations,an attitude controller is designed to guarantee high precision of attitude control of the satellite with external disturbances and actuator faults.Finally,a set of numerical simulations of specific mission process is carried out to verify the effectiveness of the proposed method.
作者
马嘉宏
吴宝林
耿云海
MA Jiahong;WU Baolin;GENG Yunhai(School of Astronautics,Harbin Institute of Technology,Harbin 150001,China)
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2023年第11期1736-1745,共10页
Journal of Astronautics
基金
国家自然基金面上项目(61873312)。
关键词
超低轨卫星
并行学习
干扰估计
故障估计
姿态控制
Ultra-low-orbit satellite
Concurrent learning
Disturbance estimation
Fault estimation
Attitude control
