Solution and Estimate to the Angular Velocity of INS Formed only by Linear Accelerometers

• 발행기관: 한국항해항만학회
• 저자명: Wu Junwei Liu Jinfeng Zhang Yunan Yuan Na
• 간행물 정보: 『한국항해항만학회 학술대회논문집』2006년도 International Symposium on GPS/GNSS Vol.1, 1~5쪽, 전체 5쪽
• 주제분류: 공학 > 해양공학
• 파일형태: PDF
• 발행일자: 2006.10.24

영문 초록

At present, most efforts tend to develop a INS which is only based linear accelerometers, because of the low cost micro-machining gyroscopes lack of the accuracy needed for precise navigation application and possible achieving the required levels of precise for micro-machining accelerometer. Although it was known in theory that a minimum of six accelerometers are required for a complete description of a rigid body motion, and any configuration of six accelerometers (except for a “measure zero” set of six-accelero-meter schemes) will work. Studies on the feasible configuration of GF-INS indicate that the errors of angular velocity resolved from the six accelerometers scheme are diverged with time or have multi solutions. The angular velocity errors are induced by the biases together with the position vectors of the accelerometers, therefore, in order to treat with the problem just mentioned, researchers have been doing many efforts, such as the extra three accelerometers or the magnetometers may be taken as the reference information, the extended Kalman filter (EKF) involved to make the angular velocity errors bound and be estimated, and so on. In this paper, the typical configurations of GF-INS are introduced; for each type GF-INS described, the solutions to the angular velocity and the specific force are derived and the characteristic is indicated; one of the corresponding extend Kalman filters are introduced to estimate the angular errors; parts of the simulation results are presented to verify the validity of the equations of angular velocity and specific force and the performance of extend Kalman filter.

목차

1. Introduction

2. Cube-Type GF-INS Presented by J. Chen

3. Six Accelerometers on the Unit Sphere Presented by Hsin-Yuan Chen

4. Nine Accelerometers Paralleling to the Frame Axes Presented by Wang Qi

5. One of the Extended Kalman Filter Algorithm

6. Conclusion

키워드

angular velocity extended Kalman filter linear accelerometer INS