基于集员估计的卫星飞轮故障检测与预测方法

doi:10.7527/S1000-6893.2021.26080

电子电气工程与控制

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基于集员估计的卫星飞轮故障检测与预测方法

梁寒玉¹, 张文瀚², 王振华², 沈毅²

1. 北京控制工程研究所, 北京 100190;
2. 哈尔滨工业大学航天学院, 哈尔滨 150001

收稿日期:2021-07-09 修回日期:2021-08-14 出版日期:2022-03-15 发布日期:2021-09-08
通讯作者: 王振华 E-mail:zhenhua.wang@hit.edu.cn
基金资助:
国家自然科学基金（61773145，61973098）

Fault detection and prognosis approach for satellite flywheel based on set-membership estimation

LIANG Hanyu¹, ZHANG Wenhan², WANG Zhenhua², SHEN Yi²

1. The Beijing Institute of Control Engineering, Beijing 100190, China;
2. School of Astronautics, Harbin Institute of Technology, Harbin 150001, China

Received:2021-07-09 Revised:2021-08-14 Online:2022-03-15 Published:2021-09-08
Supported by:
National Natural Science Foundation of China (61773145, 61973098)

摘要/Abstract

摘要： 为了对卫星飞轮故障进行提前预警，提出了一种基于集员估计的故障检测和预测方法。首先，基于飞轮的动态模型设计了一种基于中心对称多面体的故障检测方法。在检测出飞轮故障后，选取飞轮的电流数据作为故障特征，并采用线性模型或非线性模型来描述其退化规律。然后，提出了一种基于中心对称多面体的集员算法，对退化模型中的未知参数进行估计，并以此为基础预测未来时刻的故障，进而实现对飞轮故障的提前预警。最后，通过数值仿真，将所提出的方法和两种现有的故障预测技术进行了对比。仿真结果表明了所提方法的有效性和优越性。

关键词: 卫星飞轮, 故障检测, 故障预测, 集员估计, 中心对称多面体

Abstract: A fault detection and prognosis approach is proposed based on set-membership estimation to achieve early warning of the flywheel fault.Firstly, a zonotope-based fault detection method is designed based on the dynamic model of flywheel.After the flywheel fault is detected, the electric current of flywheel is selected as the fault feature, and the linear model or nonlinear model is used to describe its degradation law.Then, a set-membership algorithm via zonotope is proposed to estimate the unknown parameters of the degradation model.By using the parameter estimation results, fault magnitudes in the future instants are predicted to achieve early warning of the flywheel fault.Finally, the proposed method is compared with two existing fault prognosis techniques through numerical simulation.The simulation results demonstrate the viability and validity of the proposed approach.

Key words: satellite flywheel, fault detection, fault prognosis, set-membership estimation, zonotope

中图分类号:

V448
TP277

梁寒玉, 张文瀚, 王振华, 沈毅. 基于集员估计的卫星飞轮故障检测与预测方法[J]. 航空学报, 2022, 43(3): 326080-326080.

LIANG Hanyu, ZHANG Wenhan, WANG Zhenhua, SHEN Yi. Fault detection and prognosis approach for satellite flywheel based on set-membership estimation[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(3): 326080-326080.

参考文献

[1] 王大轶, 屠园园, 符方舟, 等.航天器控制系统的自主诊断重构技术[J].控制理论与应用, 2019, 36(12):1966-1978. WANG D Y, TU Y Y, FU F Z, et al.Autonomous diagnosis and reconfiguration technology of spacecraft control system[J].Control Theory & Applications, 2019, 36(12):1966-1978(in Chinese).
[2] 沈毅, 李利亮, 王振华.航天器故障诊断与容错控制技术研究综述[J].宇航学报, 2020, 41(6):647-656. SHEN Y, LI L L, WANG Z H.A review of fault diagnosis and fault-tolerant control techniques for Spacecraft[J].Journal of Astronautics, 2020, 41(6):647-656(in Chinese).
[3] 袁利, 王淑一.航天器控制系统智能健康管理技术发展综述[J].航空学报, 2021, 42(4):122-136. YUAN L, WANG S Y.A review on development of intelligent health management technology for spacecraft control systems[J].Acta Aeronautica et Astronautica Sinica, 2021, 42(4):122-136(in Chinese).
[4] 陈雪芹, 孙瑞, 吴凡, 等.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. CHEN X Q, SUN R, WU F, et al.Fault estimation in satellite attitude control system based on ATSUKF algorithm[J].Acta Aeronautica et Astronautica Sinica, 2019, 40(5):322551(in Chinese).
[5] 李利亮, 牛睿, 邵志杰, 等.采用简化滤波器思想的卫星姿态确定系统故障诊断[J].宇航学报, 2019, 40(7):776-784. LI L L, NIU R, SHAO Z J, et al.Fault diagnosis for satellite attitude system by simplified filter Scheme[J].Journal of Astronautics, 2019, 40(7):776-784(in Chinese).
[6] 曲春娣, 张洪钺.卫星动量轮闭环系统的U IO双观测器故障诊断[J].航天控制, 2005, 23(6):66-71, 88. QU C D, ZHANG H Y.The fault diagnosis of momentum close-loop system used in satellite based on the UIO double Observers[J].Aerospace Control, 2005, 23(6):66-71, 88(in Chinese).
[7] 李知周, 张锐, 朱振才, 等.基于扩展卡尔曼滤波的动量轮故障检测方法[J].航空学报, 2010, 31(8):1614-1621. LI Z Z, ZHANG R, ZHU Z C, et al.Extended Kalman filter-based fault detection for momentum wheel[J].Acta Aeronautica et Astronautica Sinica, 2010, 31(8):1614-1621(in Chinese).
[8] 龚学兵, 王日新, 徐敏强.飞轮传感器的高斯混合模型故障检测方法[J].宇航学报, 2015, 36(6):699-705. GONG X B, WANG R X, XU M Q.Gaussian mixed model-based fault detection method for flywheel sensor[J].Journal of Astronautics, 2015, 36(6):699-705(in Chinese).
[9] 李冬柏, 陈雪芹, 李诚良.基于偏差分离原理的卫星执行机构故障诊断[J].系统工程与电子技术, 2015, 37(3):606-612. LI D B, CHEN X Q, LI C L.Fault diagnosis of satellite actuator based on bias-separated theory[J].Systems Engineering and Electronics, 2015, 37(3):606-612(in Chinese).
[10] CHEN X Q, SUN R, JIANG W C, et al.A novel two-stage extended Kalman filter algorithm for reaction flywheels fault estimation[J].Chinese Journal of Aeronautics, 2016, 29(2):462-469.
[11] 张茂林, 宋华, 朱新宇.卫星姿控系统基于模糊基函数网络与自回归模型的故障预测[J].控制理论与应用, 2011, 28(4):472-478. ZHANG M L, SONG H, ZHU X Y.Fault prognosis in control system for satellite attitudes based on fuzzy basis function networks and autoregression model[J].Control Theory & Applications, 2011, 28(4):472-478(in Chinese).
[12] 祁海铭, 程月华, 姜斌, 等.基于多状态故障的卫星姿态控制系统剩余寿命预测方法[J].南京航空航天大学学报, 2015, 47(1):29-36. QI H M, CHENG Y H, JIANG B, et al.Residual life prediction of satellite attitude control system based on multi-state Failures[J].Journal of Nanjing University of Aeronautics & Astronautics, 2015, 47(1):29-36(in Chinese).
[13] RAHIMI A, KUMAR K D, ALIGHANBARI H.Failure prognosis for satellite reaction wheels using Kalman filter and particle filter[J].Journal of Guidance, Control, and Dynamics, 2019, 43(3):585-588.
[14] ALAMO T, BRAVO J M, CAMACHO E F.Guaranteed state estimation by zonotopes[J].Automatica, 2005, 41(6):1035-1043.
[15] COMBASTEL C.Zonotopes and Kalman observers:Gain optimality under distinct uncertainty paradigms and robust convergence[J].Automatica, 2015, 55:265-273.
[16] 柴伟, 孙先仿.改进的全对称多胞形集员状态估计算法[J].控制理论与应用, 2008, 25(2):273-277. CHAI W, SUN X F.An improved estimation algorithm for set membership states by zonotopes[J].Control Theory & Applications, 2008, 25(2):273-277(in Chinese).
[17] TANG W T, WANG Z H, ZHANG Q H, et al.Set-membership estimation for linear time-varying descriptor systems[J].Automatica, 2020, 115:108867.
[18] 汤文涛, 王振华, 王烨, 等.基于未知输入集员滤波器的不确定系统故障诊断[J].自动化学报, 2018, 44(9):1717-1724. TANG W T, WANG Z H, WANG Y, et al.Fault diagnosis for uncertain systems based on unknown input set-membership filters[J].Acta Automatica Sinica, 2018, 44(9):1717-1724(in Chinese).
[19] ZHOU M, CAO Z C, ZHOU M C, et al.Zonotoptic fault estimation for discrete-time LPV systems with bounded parametric uncertainty[J].IEEE Transactions on Intelligent Transportation Systems, 2020, 21(2):690-700.
[20] XU F, TAN J B, WANG Y, et al.Combining set-theoretic UIO and invariant sets for optimal guaranteed robust fault detection and isolation[J].Journal of Process Control, 2019, 78:155-169.
[21] 李佶桃, 王振华, 沈毅.线性离散系统的有限频域集员故障检测观测器设计[J].自动化学报, 2020, 46(7):1531-1538. LI J T, WANG Z H, SHEN Y.Set-membership fault detection observer design in finite-frequency domain for linear discrete-time System[J].Acta Automatica Sinica, 2020, 46(7):1531-1538(in Chinese).
[22] BIALKE B.High fidelity mathematical modeling of reaction wheel performance[C]//Proceedings of the 21st Annual American Astronautical Society Guidance and Control Conference, 1998.
[23] 朱娜, 王志强, 周朋.磁悬浮反作用飞轮速率模式控制系统设计[J].航空精密制造技术, 2011, 47(4):24-28, 49. ZHU N, WANG Z Q, ZHOU P.Speed mode control approach for magnetic suspended reaction flywheel[J].Aviation Precision Manufacturing Technology, 2011, 47(4):24-28, 49(in Chinese).
[24] LE V T H, STOICA C, ALAMO T, et al.Zonotopes[M].Hoboken, USA:John Wiley & Sons, Inc., 2013.
[25] GEBRAEEL N.Sensory-updated residual life distributions for components with exponential degradation patterns[J].IEEE Transactions on Automation Science and Engineering, 2006, 3(4):382-393.
[26] 马良荔, 李刚, 陶道强.基于灰色GM(1, 1)模型的故障预测方法[J].计算机应用与软件, 2013, 30(4):198-200. MA L L, LI G, TAO D Q.A failure prediction method based on gray GM(1, 1) model[J].Computer Applications and Software, 2013, 30(4):198-200(in Chinese).

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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

基于集员估计的卫星飞轮故障检测与预测方法

Fault detection and prognosis approach for satellite flywheel based on set-membership estimation

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