Fault Detector and Fault Detection Method for Attitude Control System of Spacecraft

• US 20120053780A1
• Filed: 11/16/2010
• Published: 03/01/2012
• Est. Priority Date: 08/31/2010
• Status: Active Grant

• Current Assignee: SNU R&DB Foundation (Seoul National University)
• Original Assignee: Seoul National University R&DB Foundation (Seoul National University)
• Inventors: LEE, Won Hee, PARK, Chan Gook, LEE, Jun Han
• Granted Patent: US 8,775,009 B2
• Time in Patent Office: Days
• US Class Current: 701/29.7
• CPC Class Codes: B64G 1/244 Spacecraft control systems
• CPC Class Codes: B64G 1/245 Attitude control algorithms for spacecraft attitude control
• CPC Class Codes: B64G 1/26 using jets
• CPC Class Codes: B64G 1/283 using reaction wheels

Abstract

Provided are a fault detector and a fault detection method for an attitude control system (ACS) of a spacecraft. The fault detector includes a first interacting multiple model (IMM) fault detection block for generating a normal model filter of the plurality of actuators and a plurality of upper level filters including fault model filters corresponding to the respective actuators, and detecting faults of the plurality of actuators using an IMM estimation technique from the plurality of upper level filters, and a second IMM fault detection block for generating a plurality of lower level filters each including a fault type model filter of the fault-detected actuator in the first IMM fault detection block, and detecting a fault type of the failed actuator using the IMM estimation technique.

Claims

1. A fault detector for an attitude control system (ACS) of a spacecraft including a plurality of actuators, comprising:

a first interacting multiple model (IMM) fault detection block for generating a normal model filter of the plurality of actuators and a plurality of upper level filters including fault model filters corresponding to the respective actuators, and detecting faults of the plurality of actuators using an IMM estimation technique from the plurality of upper level filters; and

a second IMM fault detection block for generating a plurality of lower level filters each including a fault type model filter of the fault-detected actuator in the first IMM fault detection block, and detecting a fault type of the failed actuator using the IMM estimation technique.

2. The fault detector according to claim 1, wherein the IMM estimation technique uses a penalty upon calculation of reliability of each model filter.

3. The fault detector according to claim 1, wherein the plurality of actuators comprise four reaction wheels and six pairs of thrusters, and

the fault model filters of the respective actuators of the plurality of upper level filters comprise fault model filters corresponding to the four reaction wheels and fault model filters corresponding to the six pairs of thrusters.

4. The fault detector according to claim 1, wherein the plurality of lower level filters comprise hard fault model filters and soft fault model filters of the failed actuator.

5. The fault detector according to claim 1, wherein the spacecraft comprises a plurality of sensor modules, and

the fault detector further comprises a federated Kalman filter (FKF) fault detection block including:

a plurality of local filters for receiving data from the plurality of sensor modules to calculate an estimation value of an attitude model of the spacecraft, a prediction filter of an attitude of the spacecraft, a sensitivity factor calculation part for calculating sensitivity factors of the respective local filters using data from the plurality local filters and data from the prediction filter, and a comparison part for comparing the sensitivity factors of the respective local filters,

wherein the FKF fault detection block transmits data of the sensor module used in the local filter having a smallest sensitivity factor to an upper level filter of the first IMM fault detection block.

6. The fault detector according to claim 5, wherein the first IMM fault detection block generates a plurality of sensor filters including fault model filters with respect to the respective sensors of the sensor module corresponding to the local filter having a largest sensitivity factor, and

the FKF fault detection block transmits the data of the sensor module used in the local filter having the largest sensitivity factor to the plurality sensor filters, and detects a fault of the sensor using the sensitivity factor and the data from the plurality of sensor filters.

7. The fault detector according to claim 5, wherein the sensor module comprises an X-axis gyro, a Y-axis gyro and a Z-axis gyro, and

the plurality of sensor filters comprise a fault model filter of the X-axis gyro, a fault model filter of the Y-axis gyro, and a fault model filter of the Z-axis gyro.

8. A fault detection method for an attitude control system (ACS) of a spacecraft including a plurality of actuators, comprising:

a first actuator-fault detection operation of generating a normal model filter of the plurality of actuators and a plurality of upper level filters including fault model filters corresponding to the respective actuators, and detecting faults of the plurality of actuators using an interacting multiple model (IMM) estimation technique; and

a second actuator-fault detection operation of generating a plurality of lower level filters corresponding to fault types of the fault-detected actuators in the first actuator-fault detection operation, and detecting the fault type of the failed actuator using the IMM estimation technique.

9. The fault detection method according to claim 8, wherein the IMM estimation technique uses a penalty upon calculation of reliability of each model filter.

10. The fault detection method according to claim 8, wherein the spacecraft comprises a plurality of sensor modules, and

the method comprises:

a first sensor-fault detection operation of receiving data from the plurality of sensor modules to calculate estimation values of attitude models of the spacecraft and a prediction value of an attitude of the spacecraft, and calculating and comparing sensitivity factors of the respective estimation values using the values; and

a second sensor-fault detection operation of generating a fault model filter of each sensor of the sensor module used to calculate the estimation value having a largest sensitivity factor, and detecting a fault of an individual sensor using the IMM estimation technique on the basis of data of the sensor module used to calculate the estimation value having the largest sensitivity factor.

11. The fault detection method according to claim 10, wherein the data of the sensor module used to calculate the estimation value having the smallest sensitivity factor among the sensitivity factors is transmitted to the first actuator-fault detection operation.