IPC분류정보
국가/구분 |
United States(US) Patent
등록
|
국제특허분류(IPC7판) |
|
출원번호 |
UP-0006985
(2004-12-07)
|
등록번호 |
US-7668655
(2010-04-09)
|
발명자
/ 주소 |
|
출원인 / 주소 |
- Honeywell International Inc.
|
대리인 / 주소 |
|
인용정보 |
피인용 횟수 :
0 인용 특허 :
12 |
초록
▼
An inertial navigation system includes a navigation component, such as an inertial measurement unit, a processor in communication with the navigation component, and a filter embedded in computer code implemented within the processor. The filter includes a model of the navigation component, and one o
An inertial navigation system includes a navigation component, such as an inertial measurement unit, a processor in communication with the navigation component, and a filter embedded in computer code implemented within the processor. The filter includes a model of the navigation component, and one or more parameters of the model are configured after startup of the inertial navigation system based upon performance characteristics of the individual navigation component included in the inertial navigation system.
대표청구항
▼
What is claimed is: 1. An inertial navigation system, comprising: a navigation component; a processor in communication with the navigation component; and a filter embedded in computer code implemented within the processor, wherein the filter comprises a model of the navigation component, and one or
What is claimed is: 1. An inertial navigation system, comprising: a navigation component; a processor in communication with the navigation component; and a filter embedded in computer code implemented within the processor, wherein the filter comprises a model of the navigation component, and one or more parameters of the model are configured after startup of the inertial navigation system based upon performance characteristics of the navigation component included in the inertial navigation system, the performance characteristics comprising data measured during a calibration procedure; wherein the performance characteristics comprise one or more of gyroscope bias offsets, accelerometer bias offsets, scale factor offsets, g sensitivity, sensor misalignment, or non-orthogonality. 2. The inertial navigation system of claim 1, wherein the navigation component comprises an inertial measurement unit. 3. The inertial navigation system of claim 1, wherein the navigation component comprises a global positioning system. 4. The inertial navigation system of claim 1, wherein the navigation component comprises a barometric altimeter. 5. The inertial navigation system of claim 1, wherein the navigation component comprises a radar altimeter. 6. The inertial navigation system of claim 1, wherein the navigation component comprises a magnetometer. 7. The inertial navigation system of claim 1, wherein the navigation component comprises a Doppler velocimeter. 8. The inertial navigation system of claim 1, wherein the filter comprises a Kalman filter. 9. A method of configuring a navigation component model in a filter of an inertial navigation system, the method comprising: after startup of the inertial navigation system, receiving calibration data regarding the navigation component included in the inertial navigation system, the received calibration data comprising a plurality of coefficients measured during a preceding calibration procedure and stored in a memory of the navigation component; and individually configuring a model customized for the navigation component in the filter of the inertial navigation system for a plurality of predefined performance categories based upon the received calibration data, wherein the calibration data comprises one or more of gyroscope bias offsets, accelerometer bias offsets, scale factor offsets, g sensitivity, sensor misalignment, or non-orthogonality. 10. The method of claim 9, wherein the navigation component comprises an inertial measurement unit. 11. The method of claim 9, wherein the navigation component comprises a global positioning system. 12. The method of claim 9, wherein the navigation component comprises a barometric altimeter. 13. The method of claim 9, wherein the navigation component comprises a radar altimeter. 14. The method of claim 9, wherein the navigation component comprises a magnetometer. 15. The method of claim 9, wherein the navigation component comprises a Doppler velocimeter. 16. The method of claim 9, wherein the filter comprises a Kalman filter. 17. The method of claim 9, wherein individually configuring the model comprises analyzing the calibration data with a software application to develop parameters for one or more states of the model corresponding to the calibration data. 18. A method of configuring a navigation component model in a filter of an inertial navigation system, the method comprising: after startup of the inertial navigation system, receiving data regarding a performance category into which the navigation component fits, wherein the performance category is based upon characteristics measured during a preceding calibration procedure of the navigation component included in the inertial navigation system, wherein the characteristics measured during the preceding calibration procedure comprise one or more of gyroscope bias offsets, accelerometer bias offsets, scale factor offsets, g sensitivity, sensor misalignment, or non-orthogonality; and selecting one of a plurality of pre-configured navigation component models, wherein the selected model corresponds to the performance category of the navigation component. 19. The method of claim 18, wherein the navigation component comprises an inertial measurement unit. 20. The method of claim 18, wherein the navigation component comprises a global positioning system. 21. The method of claim 18, wherein the navigation component comprises a barometric altimeter. 22. The method of claim 18, wherein the navigation component comprises a radar altimeter. 23. The method of claim 18, wherein the navigation component comprises a magnetometer. 24. The method of claim 18, wherein the navigation component comprises a Doppler velocimeter. 25. The method of claim 18, wherein the filter comprises a Kalman filter.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.