A Combined Residual Detection Method of Reaction Wheel for Fault Detection

doi:10.16183/j.cnki.jsjtu.2019.254

Abstract

Abstract:

A fault detection method of combined residual is proposed to effectively master the health state of the reaction wheels of in-orbit satellite according to the telemetry data. Based on the characteristics of in-orbit telemetry data, in the proposed method, the XGBoost regression model is used to predict the rotation speed and generate residual with available data of the closed-loop controlled reaction wheel. The sensitivity of viscous friction coefficient to the sudden change of friction torque is also combined with the method. In addition, the fault detection method is verified in view of the incomplete telemetry data in orbit. The result shows that the proposed method has an excellent detection effect on common reaction wheel faults. The combined residual fault detection method does not rely on fault samples and has low requirements for samples, so it has a certain application value in practical fault detection system.

Key words: closed-loop system, reaction wheel, fault detection, incomplete data, machine learning

CLC Number:

V474

HE Xiawei, CAI Yunze, YAN Lingling. A Combined Residual Detection Method of Reaction Wheel for Fault Detection[J]. Journal of Shanghai Jiao Tong University, 2021, 55(6): 716-728.

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序号	参数	数值
1	反作用轮惯量, J/(kg·m²)	0.0229
2	电机电动势反馈常数,K_e/(V·rad^-1·s)	0.029
3	输入阻抗,R_in/Ω	2
4	母线电压,V_bus/V	28
5	偏置电压,V_bias/V	6
6	电压反馈增益K_f	0.5
7	驱动增益,G_d/(A·V^-1)	0.37
8	驱动频率,ω_d/(rad·s^-1)	2000
9	电机转矩参数,K_t/(N·m·A^-1)	0.054
10	超速循环增益,K_s/(V·rad^-1·s)	95
11	限制转速,ω_s/(r·min^-1)	5000
12	转矩噪声角偏差,θ_a/rad	0.05
13	高通滤波器频率ω_a/(rad·s^-1)	0.2
14	库伦摩擦因数τ_c	0.00477

代号	故障模式	故障表现	故障原因
F1	卡死故障	输出力矩首先产生一个巨大的反向扰动,然后快速变为零	电子转子不启动、电机转子和定子抱死、转轴断裂、电路短路
F2	空转故障	无法正常响应控制指令,在摩擦力矩作用下转速减小,输出力矩几乎为零	电子线路、驱动电机或是电源供应故障
F3	摩擦故障	摩擦力矩增大导致反作用轮输出力矩小于控制力矩,影响控制效果	轴承温度增高、轴承润滑差、保持架不稳定、轮体真空密封失效、压力降低
F4	增益下降故障	输出力矩相对期望力矩比例减小	驱动电机故障、元器件老化失效
F5	缓变故障	摩擦力矩随时间缓慢增加	故障原因与F3摩擦故障一致
F6	跳变故障	转速波动,产生非预期力矩	母线电压故障或存在间歇性时变故障

模型	R²	MAE	MSE	RMSE
LASSO	0.9991	0.3625	0.2047	0.4524
RIDGE	0.9991	0.3624	0.2046	0.4524
ENet	0.9991	0.3625	0.2047	0.4524
KRR	0.9992	0.3529	0.1933	0.4397
SVR	0.9993	0.3186	0.1717	0.4144
XGBoost	0.9995	0.2554	0.1071	0.3273

故障	参数设置	SP/%	Acc/%
F1		100	100
F2		99.17	99.59
F3	K₃=1.32	79.05	88.12
F3	K₃=1.35	82.58	90.13
F3	K₃=1.43	98.31	98.68
F4	K₄=0.83	80.18	88.32
F4	K₄=0.79	98.39	98.80
F5	β₅=0.21×10^-3	88.48	88.48
F6		99.92	98.80

故障	频率是否一致	SP/%	Acc/%	故障	频率是否一致	SP/%	Acc/%
F1	是	100	100	F4(K₄=0.79)	是	98.39	98.80
F1	否	98.59	99.30	F4(K₄=0.79)	否	83.79	90.33
F2	是	99.17	99.59	F5(β₅=0.21×10^-3)	是	88.48	88.48
F2	否	99.17	99.59	F5(β₅=0.21×10^-3)	否	87.52	87.52
F3(K₃=1.43)	是	98.31	98.68	F6	是	99.92	98.80
F3(K₃=1.43)	否	81.22	89.04	F6	否	100	98.68