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논문 기본 정보

자료유형
학술대회자료
저자정보
Sung-Hoon Mok (Korea Advanced Institute of Science and Technology) SooYung Byeon (Satrec Initiative) Hyochoong Bang (Korea Advanced Institute of Science and Technology) Yoonhyuk Choi (Agency for Defense Development)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2018
발행연도
2018.10
수록면
1,429 - 1,434 (6page)

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초록· 키워드

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With increasing demand for high-agility spacecraft, the importance of accurate attitude estimation in high-agility condition is gradually increasing. In previous high-cost spacecraft missions, high-quality gyroscopes were able to be employed and the conventional gyro-based Kalman filter has provided accurate attitude estimates. However, in low-cost missions such as CubeSat missions, high-quality gyroscopes usually cannot be adopted due to its expensive price and large size/power/mass, and this leads to performance degradation in high-agility condition. This proceeding presents a simple example that illustrates how high-agility condition induces performance degradation in a classical gyro-based Kalman filter framework. Then, an alternative attitude estimation method that is based on a model-based gyroless Kalman filter framework is proposed. Numerical results demonstrate that the proposed gyroless filter could exhibit comparable attitude estimation performance, compared to the gyro-based filter, when gyro performance belongs to an industrial grade (such as MEMS gyros). The proposed gyroless filter could be implemented as a main attitude estimation method or as a backup estimation method, depending on available gyros’ performance.

목차

Abstract
1. INTRODUCTION
2. MOTIVATION
3. GYROLESS ATTITUDE ESTIMATION
4. NUMERICAL SIMULATIONS
5. CONCLUSION
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UCI(KEPA) : I410-ECN-0101-2018-003-003540094