Systems and methods for determining inertial navigation system faults
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G01C-009/00
G06F-011/30
G01C-021/16
G01C-025/00
출원번호
US-0029204
(2011-02-17)
등록번호
US-9568321
(2017-02-14)
발명자
/ 주소
Bharadwaj, Raj Mohan
Bageshwar, Vibhor L.
Kim, Kyusung
출원인 / 주소
HONEYWELL INTERNATIONAL INC.
대리인 / 주소
Ingrassia Fisher & Lorenz, P.C.
인용정보
피인용 횟수 :
1인용 특허 :
27
초록▼
An inertial navigation system (INS) includes a primary inertial navigation system (INS) unit configured to receive accelerometer measurements from an accelerometer and angular velocity measurements from a gyroscope. The primary INS unit is further configured to receive global navigation satellite sy
An inertial navigation system (INS) includes a primary inertial navigation system (INS) unit configured to receive accelerometer measurements from an accelerometer and angular velocity measurements from a gyroscope. The primary INS unit is further configured to receive global navigation satellite system (GNSS) signals from a GNSS sensor and to determine a first set of kinematic state vectors based on the accelerometer measurements, the angular velocity measurements, and the GNSS signals. The INS further includes a secondary INS unit configured to receive the accelerometer measurements and the angular velocity measurements and to determine a second set of kinematic state vectors of the vehicle based on the accelerometer measurements and the angular velocity measurements. A health management system is configured to compare the first set of kinematic state vectors and the second set of kinematic state vectors to determine faults associated with the accelerometer or the gyroscope based on the comparison.
대표청구항▼
1. An inertial navigation system (INS), comprising: a primary inertial navigation system (INS) unit configured to receive first accelerometer measurements from a first accelerometer and first angular velocity measurements from a first gyroscope, the primary INS unit further configured to receive glo
1. An inertial navigation system (INS), comprising: a primary inertial navigation system (INS) unit configured to receive first accelerometer measurements from a first accelerometer and first angular velocity measurements from a first gyroscope, the primary INS unit further configured to receive global navigation satellite system (GNSS) signals from a GNSS sensor and to determine a first set of kinematic state vectors based on the first accelerometer measurements, the first angular velocity measurements, and the GNSS signals;a secondary INS unit configured to receive the first accelerometer measurements and the first angular velocity measurements and to determine a second set of kinematic state vectors of the vehicle based on the first accelerometer measurements and the first angular velocity measurements; anda health management system configured to compare the first set of kinematic state vectors and the second set of kinematic state vectors to determine faults associated with at least one of the first accelerometer or the first gyroscope based on the comparison. 2. The INS of claim 1, wherein the primary INS unit includes primary accelerometer and gyroscope measurement models for determining the first set of kinematic state vectors and the secondary INS unit includes secondary accelerometer and gyroscope measurement models for determining the second set of kinematic state vectors. 3. The INS of claim 2, wherein the primary accelerometer and gyroscope measurement models and the secondary accelerometer and gyroscope measurement models are the same. 4. The INS of claim 2, wherein the health management system is further configured to determine faults associated with the primary accelerometer and gyroscope measurement models or the secondary accelerometer and gyroscope measurement models. 5. The INS of claim 1, wherein the health management system is configured to generate the second set of kinematic state vectors with errors due to accelerometer bias. 6. The INS of claim 1, wherein the health management system is configured to generate the second set of kinematic state vectors with errors due to gyroscope bias. 7. The INS of claim 1, further comprising a switch coupled to the secondary INS unit and configured to initialize the secondary INS unit based on a predetermined sampling rate or statistics associated with the first set of kinematic state vectors. 8. The INS of claim 1, wherein the primary INS unit is further configured to receive additional sensor measurements from at least one additional aiding sensor and to additionally determine the first set of kinematic state vectors based on the additional sensor measurements. 9. The INS of claim 1, wherein the secondary INS unit is configured to determine the second set of kinematic state vectors independently of the GNSS signals. 10. The INS of claim 1, wherein the comparison between the first set of kinematic state vectors and the second set of kinematic state vectors generates a first set of health indicators, and wherein the primary INS unit includes a first Kalman filter configured to receive the GNSS signals and to determine a second set of health indicators associated with the first set of kinematic state vectors. 11. The INS of claim 10, wherein primary INS unit includes an input filter configured to produce a third set of health indicators associated with the first set of kinematic state vectors, and wherein the health management system includes a fusion module configured to determine the faults based on the first set of health indicators, the second set of health indicators, and the third set of health indicators. 12. A vehicle system, comprising: an inertial measurement unit (IMU) comprising a first accelerometer configured to generate first acceleration measurements and a first gyroscope configured to generate first angular velocity measurements;a global navigation satellite system (GNSS) configured to generate GNSS signals;a primary inertial navigation system (INS) unit configured to receive the first accelerometer measurements, the first angular velocity measurements, and the GNSS signals, the primary INS unit further configured to determine a first set of kinematic state vectors based on the first accelerometer measurements, the first angular velocity measurements, and the GNSS signals;a secondary INS unit configured to receive the first accelerometer measurements and the first angular velocity measurements and to determine a second set of kinematic state vectors of the vehicle based on the first accelerometer measurements and the first angular velocity measurements, wherein the secondary INS unit is configured to determine the second set of kinematic state vectors independently of the GNSS signals; anda health management system coupled to the primary INS unit and the secondary INS unit and configured to compare the first set of kinematic state vectors and the second set of kinematic state vectors to determine faults associated with at least one of the first accelerometer or the first gyroscope based on the comparison,wherein the primary INS unit includes primary accelerometer and gyroscope measurement models for determining the first set of kinematic state vectors and the secondary INS unit includes secondary accelerometer and gyroscope measurement models for determining the second set of kinematic state vectors,wherein the primary accelerometer and gyroscope measurement models and the secondary accelerometer and gyroscope measurement models are the same, andwherein the health management system is further configured to determine faults associated with the primary accelerometer and gyroscope measurement models or the secondary accelerometer and gyroscope measurement models. 13. The vehicle system of claim 12, wherein the health management system is configured to generate the second set of kinematic state vectors with errors due to accelerometer bias. 14. The vehicle system of claim 12, wherein the health management system is configured to generate the second set of kinematic state vectors with errors due to gyroscope bias. 15. The vehicle system of claim 12, further comprising a switch coupled to the secondary INS unit and configured to initialize the secondary INS unit based on a predetermined sampling rate or statistics associated with the first set of kinematic state vectors. 16. A vehicle system, comprising: a first inertial measurement unit (IMU) comprising a first accelerometer configured to generate first acceleration measurements and a first gyroscope configured to generate first angular velocity measurements;a global navigation satellite system (GNSS) configured to generate GNSS signals;a primary inertial navigation system (INS) unit configured to receive the first accelerometer measurements, the first angular velocity measurements, and the GNSS signals, the primary INS unit further configured to determine a first set of kinematic state vectors based on the first accelerometer measurements, the first angular velocity measurements, and the GNSS measurements, the primary INS unit including a first Kalman filter configured to receive the GNSS signals and to determine a first set of health indicators associated with the first set of kinematic state vectors and an input filter configured to produce a second set of health indicators associated with the first set of kinematic state vectors;a secondary INS unit configured to receive the first accelerometer measurements and the first angular velocity measurements and to determine a second set of kinematic state vectors of the vehicle based on the first accelerometer measurements and the first angular velocity measurements and independently of the GNSS signals; anda health management system coupled to the primary INS unit and the secondary INS unit and configured to compare the first set of kinematic state vectors and the second set of kinematic state vectors to generate a third set of health indicators, the health management system further configured to determine faults associated with at least one of the first accelerometer or the first gyroscope based on at least one of the first set of health indicators, the second set of health indicators, or the third set of health indicators. 17. The INS of claim 1, wherein the health management system is configured to compare first angular orientations from the first set of kinematic state vectors and second angular orientations from the second set of kinematic state vectors to generate angular orientation differences, and wherein the health management system determines an error growth of the angular orientation differences and generates parameters for a gyroscope measurement model based on the error growth, and wherein the gyroscope measurement model forms a portion of the health management model configured to determine the fault associated with the first gyroscope. 18. The INS of claim 17, wherein the fault associated with the first gyroscope based is gyroscope bias. 19. The INS of claim 18, wherein the health management system is configured to compare first positions and first velocities from the first set of kinematic state vectors and second positions and second velocities from the second set of kinematic state vectors to generate position and velocity differences, wherein the health management system generates parameters for an acceleration measurement model based on the position and velocity differences, and wherein the acceleration measurement model forms a further portion of the health management model configured to determine the fault associated with the first accelerometer. 20. The INS of claim 19, wherein the health management system is further configured to remove the gyroscope bias from the acceleration measurement module to determine the fault associated with the first accelerometer, wherein the fault associated with the first accelerometer is acceleration bias, wherein the primary INS unit includes primary models for determining the first set of kinematic state vectors and the secondary INS unit includes secondary models for determining the second set of kinematic state vectors, andwherein the health management system is configured to update the primary and secondary models to remove the gyroscope bias and the acceleration bias.
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