TY - JOUR
T1 - An innovative navigation scheme for Mars entry using dynamic pressure measurement
AU - Deng, Jianfeng
AU - Gao, Ai
AU - Zong, Hua
AU - Cui, Pingyuan
N1 - Publisher Copyright:
© 2017 COSPAR
PY - 2017/11/15
Y1 - 2017/11/15
N2 - Complete observability of dynamic system is a major concern of navigation in Mars precision landing exploration missions. It is demonstrated that, however, the current measurements used for navigation during Mars entry cannot guarantee the complete observability of the dynamic system. This paper proposes an integrated navigation scheme for Mars entry phase using the dynamic pressure and accelerations from inertial measurement unit (IMU). The dynamic pressure derived from the Mars Entry Atmospheric Data System (MEADS), and the triaxle accelerations from IMU are integrated in a filter as navigation measurements to increase the dynamic system observability and perform state estimation on-board. Afterward, the perturbation of the dynamic caused by parameter uncertainties is built. In order to address the impact of perturbation on state estimation, an adaptive estimator based on modified mixture-of-expert framework is given. Numerical simulation results demonstrate that the proposed integrated navigation scheme can ensure the complete observability of the dynamic system, and the state estimation are converged with entry time after the dynamic pressure has built up.
AB - Complete observability of dynamic system is a major concern of navigation in Mars precision landing exploration missions. It is demonstrated that, however, the current measurements used for navigation during Mars entry cannot guarantee the complete observability of the dynamic system. This paper proposes an integrated navigation scheme for Mars entry phase using the dynamic pressure and accelerations from inertial measurement unit (IMU). The dynamic pressure derived from the Mars Entry Atmospheric Data System (MEADS), and the triaxle accelerations from IMU are integrated in a filter as navigation measurements to increase the dynamic system observability and perform state estimation on-board. Afterward, the perturbation of the dynamic caused by parameter uncertainties is built. In order to address the impact of perturbation on state estimation, an adaptive estimator based on modified mixture-of-expert framework is given. Numerical simulation results demonstrate that the proposed integrated navigation scheme can ensure the complete observability of the dynamic system, and the state estimation are converged with entry time after the dynamic pressure has built up.
KW - Dynamic pressure measurement
KW - Integrated navigation scheme
KW - Mars entry
KW - Observability analysis
KW - State estimation
UR - http://www.scopus.com/inward/record.url?scp=85029224019&partnerID=8YFLogxK
U2 - 10.1016/j.asr.2017.08.033
DO - 10.1016/j.asr.2017.08.033
M3 - Article
AN - SCOPUS:85029224019
SN - 0273-1177
VL - 60
SP - 2319
EP - 2331
JO - Advances in Space Research
JF - Advances in Space Research
IS - 10
ER -