基于ATSUKF算法的卫星姿控系统故障估计

doi:10.7527/S1000-6893.2018.22551

电子电气工程与控制

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基于ATSUKF算法的卫星姿控系统故障估计

陈雪芹, 孙瑞, 吴凡, 蒋万程

哈尔滨工业大学卫星技术研究所, 哈尔滨 150080

收稿日期:2018-07-17 修回日期:2018-10-12 出版日期:2019-05-15 发布日期:2018-12-17
通讯作者: 孙瑞 E-mail:srada@163.com
基金资助:
国家自然科学基金（2016YFB0500901）；微小型航天器技术国防重点学科实验室开放基金（HIT.KLOF.MST.201603）

Fault estimation in satellite attitude control system based on ATSUKF algorithm

CHEN Xueqin, SUN Rui, WU Fan, JIANG Wancheng

Research Center of Satellite Technology, Harbin Institute of Technology, Harbin 150080, China

Received:2018-07-17 Revised:2018-10-12 Online:2019-05-15 Published:2018-12-17
Supported by:
National Natural Science Foundation of China (2016YFB0500901); Open Fund of National Defense Key Discipline Laboratory of Micro-Spacecraft Technology (HIT.KLOF.MST.201603)

摘要/Abstract

摘要： 针对卫星姿态控制过程中可能发生的执行机构或敏感器故障，提出了一种基于无损卡尔曼滤波（UKF）及偏差分离原理的自适应二阶无损卡尔曼滤波（ATSUKF）算法。首先，提出TSUKF算法，通过UKF处理姿态机动时的非线性并通过偏差分离原理将非线性系统的状态及故障分别估计，避免非线性模型的线性化过程同时降低了计算过程中的矩阵维度。然后，在TSUKF算法的基础上提出了ATSUKF算法，通过滑动窗口内的残差计算自适应矩阵，使滤波器在统计特性不准确的情况下仍然具有较快的收敛速度，特别适用于卫星快速机动过程中的姿态与故障估计。数值仿真结果表明，ATSUKF算法相较于TSUKF算法能有效降低统计特性不准对系统造成的不利影响，实现卫星姿态、执行机构/敏感器故障的快速估计。

关键词: 故障估计, 偏差分离, 无损卡尔曼滤波(UKF), 自适应估计, 卫星姿态控制

Abstract: Based on the bias-separate principle and the Unscented Kalman Filter (UKF), an Adaptive Two-Stage Unscented Kalman Filter (ATSUKF) is proposed to address the fault estimation of actuators/sensors in the satellite attitude control system. First, the TSUKF is presented. The decoupled state and faults are estimated by applying the bias-separate principle and using the nonlinearity by the UKF when the attitude is maneuvered without linearization of the system model. This avoids lowering the dimension of the matrix during the estimating process. Based on the TSUKF, an adaptive version is proposed. The adaptive matrices are calculated by the residuals in the sliding data window to make the noise covariance matrices change adaptively. With the ATSUKF estimator, the convergence rate is enhanced when the prior knowledge of the noise covariance matrices are inaccurate or the fault changes. Numerical simulations demonstrate the effectiveness of the approach proposed.

Key words: fault estimation, bias separate, Unscented Kalman Filter (UKF), adaptive estimation, satellite attitude control

中图分类号:

V448.2

陈雪芹, 孙瑞, 吴凡, 蒋万程. 基于ATSUKF算法的卫星姿控系统故障估计[J]. 航空学报, 2019, 40(5): 322551-322551.

CHEN Xueqin, SUN Rui, WU Fan, JIANG Wancheng. Fault estimation in satellite attitude control system based on ATSUKF algorithm[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2019, 40(5): 322551-322551.

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E-mail：hkxb@buaa.edu.cn

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于ATSUKF算法的卫星姿控系统故障估计

Fault estimation in satellite attitude control system based on ATSUKF algorithm

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